title
stringlengths 8
155
| citations_google_scholar
int64 0
28.9k
| conference
stringclasses 5
values | forks
int64 0
46.3k
| issues
int64 0
12.2k
| lastModified
stringlengths 19
26
| repo_url
stringlengths 26
130
| stars
int64 0
75.9k
| title_google_scholar
stringlengths 8
155
| url_google_scholar
stringlengths 75
206
| watchers
int64 0
2.77k
| year
int64 2.02k
2.02k
|
|---|---|---|---|---|---|---|---|---|---|---|---|
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
| 563 |
eccv
| 96 | 42 |
2023-06-16 23:55:30.758000
|
https://github.com/MhLiao/MaskTextSpotter
| 416 |
Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes
|
https://scholar.google.com/scholar?cluster=3537153192230704531&hl=en&as_sdt=0,5
| 17 | 2,018 |
Deterministic Consensus Maximization with Biconvex Programming
| 32 |
eccv
| 4 | 2 |
2023-06-16 23:55:30.969000
|
https://github.com/ZhipengCai/Demo---Deterministic-consensus-maximization-with-biconvex-programming
| 11 |
Deterministic consensus maximization with biconvex programming
|
https://scholar.google.com/scholar?cluster=4292317912687886232&hl=en&as_sdt=0,5
| 4 | 2,018 |
Quantized Densely Connected U-Nets for Efficient Landmark Localization
| 150 |
eccv
| 39 | 11 |
2023-06-16 23:55:31.180000
|
https://github.com/zhiqiangdon/CU-Net
| 222 |
Quantized densely connected u-nets for efficient landmark localization
|
https://scholar.google.com/scholar?cluster=8723635568504904410&hl=en&as_sdt=0,38
| 13 | 2,018 |
Repeatability Is Not Enough: Learning Affine Regions via Discriminability
| 181 |
eccv
| 46 | 3 |
2023-06-16 23:55:31.391000
|
https://github.com/ducha-aiki/affnet
| 241 |
Repeatability is not enough: Learning affine regions via discriminability
|
https://scholar.google.com/scholar?cluster=14226910740419570959&hl=en&as_sdt=0,5
| 17 | 2,018 |
ADVIO: An Authentic Dataset for Visual-Inertial Odometry
| 76 |
eccv
| 38 | 10 |
2023-06-16 23:55:31.601000
|
https://github.com/AaltoVision/ADVIO
| 209 |
ADVIO: An authentic dataset for visual-inertial odometry
|
https://scholar.google.com/scholar?cluster=14618513620593447739&hl=en&as_sdt=0,42
| 9 | 2,018 |
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
| 123 |
eccv
| 16 | 2 |
2023-06-16 23:55:31.813000
|
https://github.com/Tushar-N/attributes-as-operators
| 63 |
Attributes as operators: factorizing unseen attribute-object compositions
|
https://scholar.google.com/scholar?cluster=11627198158637727139&hl=en&as_sdt=0,11
| 4 | 2,018 |
Generating 3D Faces using Convolutional Mesh Autoencoders
| 485 |
eccv
| 98 | 20 |
2023-06-16 23:55:32.024000
|
https://github.com/anuragranj/coma
| 424 |
Generating 3D faces using convolutional mesh autoencoders
|
https://scholar.google.com/scholar?cluster=7357268074603147679&hl=en&as_sdt=0,5
| 34 | 2,018 |
Data-Driven Sparse Structure Selection for Deep Neural Networks
| 524 |
eccv
| 5 | 0 |
2023-06-16 23:55:32.235000
|
https://github.com/huangzehao/sparse-structure-selection
| 39 |
Data-driven sparse structure selection for deep neural networks
|
https://scholar.google.com/scholar?cluster=17407171928050222407&hl=en&as_sdt=0,14
| 3 | 2,018 |
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
| 53 |
eccv
| 4 | 1 |
2023-06-16 23:55:32.447000
|
https://github.com/PSCLab-ASU/LAPRAN-PyTorch
| 8 |
Lapran: A scalable laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction
|
https://scholar.google.com/scholar?cluster=7232900847478305958&hl=en&as_sdt=0,5
| 2 | 2,018 |
Learning Warped Guidance for Blind Face Restoration
| 100 |
eccv
| 11 | 1 |
2023-06-16 23:55:32.659000
|
https://github.com/csxmli2016/GFRNet
| 95 |
Learning warped guidance for blind face restoration
|
https://scholar.google.com/scholar?cluster=2135603410227164832&hl=en&as_sdt=0,5
| 8 | 2,018 |
Shift-Net: Image Inpainting via Deep Feature Rearrangement
| 420 |
eccv
| 80 | 30 |
2023-06-16 23:55:32.869000
|
https://github.com/Zhaoyi-Yan/Shift-Net_pytorch
| 355 |
Shift-net: Image inpainting via deep feature rearrangement
|
https://scholar.google.com/scholar?cluster=12909199709571911075&hl=en&as_sdt=0,5
| 13 | 2,018 |
Estimating the Success of Unsupervised Image to Image Translation
| 11 |
eccv
| 3 | 0 |
2023-06-16 23:55:33.081000
|
https://github.com/sagiebenaim/gan_bound
| 18 |
Estimating the success of unsupervised image to image translation
|
https://scholar.google.com/scholar?cluster=12228389234712563972&hl=en&as_sdt=0,1
| 3 | 2,018 |
Sparsely Aggregated Convolutional Networks
| 64 |
eccv
| 26 | 4 |
2023-06-16 23:55:33.292000
|
https://github.com/Lyken17/SparseNet
| 127 |
Sparsely aggregated convolutional networks
|
https://scholar.google.com/scholar?cluster=18018235047234605783&hl=en&as_sdt=0,22
| 7 | 2,018 |
Toward Characteristic-Preserving Image-based Virtual Try-On Network
| 278 |
eccv
| 172 | 18 |
2023-06-16 23:55:33.503000
|
https://github.com/sergeywong/cp-vton
| 421 |
Toward characteristic-preserving image-based virtual try-on network
|
https://scholar.google.com/scholar?cluster=8505438031219592659&hl=en&as_sdt=0,6
| 16 | 2,018 |
A Closed-form Solution to Photorealistic Image Stylization
| 387 |
eccv
| 1,210 | 56 |
2023-06-16 23:55:33.714000
|
https://github.com/NVIDIA/FastPhotoStyle
| 11,014 |
A closed-form solution to photorealistic image stylization
|
https://scholar.google.com/scholar?cluster=3998372881584054724&hl=en&as_sdt=0,5
| 277 | 2,018 |
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm
| 480 |
eccv
| 38 | 17 |
2023-06-16 23:55:33.926000
|
https://github.com/liuzechun/Bi-Real-net
| 161 |
Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
|
https://scholar.google.com/scholar?cluster=11618306684748410423&hl=en&as_sdt=0,14
| 8 | 2,018 |
Conditional Prior Networks for Optical Flow
| 36 |
eccv
| 1 | 3 |
2023-06-16 23:55:34.138000
|
https://github.com/YanchaoYang/Conditional-Prior-Networks
| 20 |
Conditional prior networks for optical flow
|
https://scholar.google.com/scholar?cluster=13612783089952575161&hl=en&as_sdt=0,5
| 2 | 2,018 |
Stacked Cross Attention for Image-Text Matching
| 930 |
eccv
| 105 | 19 |
2023-06-16 23:55:34.349000
|
https://github.com/kuanghuei/SCAN
| 467 |
Stacked cross attention for image-text matching
|
https://scholar.google.com/scholar?cluster=16231211588572724532&hl=en&as_sdt=0,33
| 10 | 2,018 |
The Devil of Face Recognition is in the Noise
| 198 |
eccv
| 67 | 13 |
2023-06-16 23:55:34.560000
|
https://github.com/fwang91/IMDb-Face
| 422 |
The devil of face recognition is in the noise
|
https://scholar.google.com/scholar?cluster=4982043129055880162&hl=en&as_sdt=0,5
| 34 | 2,018 |
Person Search in Videos with One Portrait Through Visual and Temporal Links
| 61 |
eccv
| 29 | 1 |
2023-06-16 23:55:34.771000
|
https://github.com/hqqasw/person-search-PPCC
| 157 |
Person search in videos with one portrait through visual and temporal links
|
https://scholar.google.com/scholar?cluster=3082328045180079825&hl=en&as_sdt=0,14
| 10 | 2,018 |
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
| 69 |
eccv
| 34 | 0 |
2023-06-16 23:55:34.982000
|
https://github.com/barisgecer/facegan
| 194 |
Semi-supervised adversarial learning to generate photorealistic face images of new identities from 3d morphable model
|
https://scholar.google.com/scholar?cluster=17824311887123970500&hl=en&as_sdt=0,5
| 10 | 2,018 |
Deep Model-Based 6D Pose Refinement in RGB
| 150 |
eccv
| 11 | 3 |
2023-06-16 23:55:35.194000
|
https://github.com/fabi92/eccv18-rgb_pose_refinement
| 49 |
Deep model-based 6d pose refinement in rgb
|
https://scholar.google.com/scholar?cluster=15165666525406932772&hl=en&as_sdt=0,47
| 12 | 2,018 |
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
| 626 |
eccv
| 58 | 8 |
2023-06-16 23:55:35.404000
|
https://github.com/wzmsltw/BSN-boundary-sensitive-network.pytorch
| 241 |
Bsn: Boundary sensitive network for temporal action proposal generation
|
https://scholar.google.com/scholar?cluster=2284253027481047573&hl=en&as_sdt=0,5
| 7 | 2,018 |
Visual Reasoning with Multi-hop Feature Modulation
| 22 |
eccv
| 0 | 1 |
2023-06-16 23:55:35.615000
|
https://github.com/GuessWhatGame/referit
| 4 |
Visual reasoning with multi-hop feature modulation
|
https://scholar.google.com/scholar?cluster=17349904381942744760&hl=en&as_sdt=0,10
| 4 | 2,018 |
Multiresolution Tree Networks for 3D Point Cloud Processing
| 237 |
eccv
| 7 | 0 |
2023-06-16 23:55:35.826000
|
https://github.com/matheusgadelha/MRTNet
| 42 |
Multiresolution tree networks for 3d point cloud processing
|
https://scholar.google.com/scholar?cluster=11110567683598189426&hl=en&as_sdt=0,11
| 2 | 2,018 |
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs
| 68 |
eccv
| 15 | 2 |
2023-06-16 23:55:36.036000
|
https://github.com/neycyanshi/DDRNet
| 138 |
Ddrnet: Depth map denoising and refinement for consumer depth cameras using cascaded cnns
|
https://scholar.google.com/scholar?cluster=7378092134524924747&hl=en&as_sdt=0,44
| 11 | 2,018 |
Video Re-localization
| 67 |
eccv
| 17 | 4 |
2023-06-16 23:55:36.248000
|
https://github.com/fengyang0317/video_reloc
| 78 |
Video re-localization
|
https://scholar.google.com/scholar?cluster=10920264094728832257&hl=en&as_sdt=0,11
| 6 | 2,018 |
Self-produced Guidance for Weakly-supervised Object Localization
| 227 |
eccv
| 25 | 11 |
2023-06-16 23:55:36.459000
|
https://github.com/xiaomengyc/SPG
| 148 |
Self-produced guidance for weakly-supervised object localization
|
https://scholar.google.com/scholar?cluster=2512369611028449806&hl=en&as_sdt=0,5
| 9 | 2,018 |
Multi-modal Cycle-consistent Generalized Zero-Shot Learning
| 369 |
eccv
| 21 | 2 |
2023-06-16 23:55:36.679000
|
https://github.com/rfelixmg/frwgan-eccv18
| 55 |
Multi-modal cycle-consistent generalized zero-shot learning
|
https://scholar.google.com/scholar?cluster=61764259088935736&hl=en&as_sdt=0,5
| 8 | 2,018 |
Generalizing A Person Retrieval Model Hetero- and Homogeneously
| 463 |
eccv
| 31 | 4 |
2023-06-16 23:55:36.893000
|
https://github.com/zhunzhong07/HHL
| 129 |
Generalizing a person retrieval model hetero-and homogeneously
|
https://scholar.google.com/scholar?cluster=15527730131190693987&hl=en&as_sdt=0,43
| 6 | 2,018 |
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
| 355 |
eccv
| 43 | 9 |
2023-06-16 23:55:37.105000
|
https://github.com/minyoungg/selfconsistency
| 177 |
Fighting fake news: Image splice detection via learned self-consistency
|
https://scholar.google.com/scholar?cluster=16441872986118182453&hl=en&as_sdt=0,33
| 11 | 2,018 |
Receptive Field Block Net for Accurate and Fast Object Detection
| 1,215 |
eccv
| 360 | 57 |
2023-06-16 23:55:37.316000
|
https://github.com/ruinmessi/RFBNet
| 1,393 |
Receptive field block net for accurate and fast object detection
|
https://scholar.google.com/scholar?cluster=17707966079671814827&hl=en&as_sdt=0,33
| 47 | 2,018 |
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior
| 70 |
eccv
| 0 | 2 |
2023-06-16 23:55:37.528000
|
https://github.com/cssjcai/vesd
| 10 |
Weakly-supervised video summarization using variational encoder-decoder and web prior
|
https://scholar.google.com/scholar?cluster=9256080473361800934&hl=en&as_sdt=0,5
| 9 | 2,018 |
Deep High Dynamic Range Imaging with Large Foreground Motions
| 209 |
eccv
| 38 | 2 |
2023-06-16 23:55:37.739000
|
https://github.com/elliottwu/DeepHDR
| 172 |
Deep high dynamic range imaging with large foreground motions
|
https://scholar.google.com/scholar?cluster=17997707085476439964&hl=en&as_sdt=0,47
| 10 | 2,018 |
Hierarchical Relational Networks for Group Activity Recognition and Retrieval
| 112 |
eccv
| 9 | 1 |
2023-06-16 23:55:37.951000
|
https://github.com/mostafa-saad/hierarchical-relational-network
| 44 |
Hierarchical relational networks for group activity recognition and retrieval
|
https://scholar.google.com/scholar?cluster=2996130825866411769&hl=en&as_sdt=0,14
| 6 | 2,018 |
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
| 88 |
eccv
| 0 | 0 |
2023-06-16 23:55:38.162000
|
https://github.com/HumamAlwassel/action-search
| 15 |
Action search: Spotting actions in videos and its application to temporal action localization
|
https://scholar.google.com/scholar?cluster=2315724837598657489&hl=en&as_sdt=0,34
| 2 | 2,018 |
Simple Baselines for Human Pose Estimation and Tracking
| 1,584 |
eccv
| 7 | 0 |
2023-06-16 23:55:38.373000
|
https://github.com/leoxiaobin/pose.pytorch
| 74 |
Simple baselines for human pose estimation and tracking
|
https://scholar.google.com/scholar?cluster=16372249111646534211&hl=en&as_sdt=0,5
| 20 | 2,018 |
Clustering Convolutional Kernels to Compress Deep Neural Networks
| 79 |
eccv
| 3 | 0 |
2023-06-16 23:55:38.585000
|
https://github.com/sanghyun-son/clustering-kernels
| 30 |
Clustering convolutional kernels to compress deep neural networks
|
https://scholar.google.com/scholar?cluster=12419171226701641771&hl=en&as_sdt=0,44
| 2 | 2,018 |
CornerNet: Detecting Objects as Paired Keypoints
| 3,315 |
eccv
| 477 | 133 |
2023-06-16 23:55:38.796000
|
https://github.com/princeton-vl/CornerNet
| 2,334 |
Cornernet: Detecting objects as paired keypoints
|
https://scholar.google.com/scholar?cluster=5999650257677576183&hl=en&as_sdt=0,5
| 62 | 2,018 |
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
| 42 |
eccv
| 10 | 1 |
2023-06-16 23:55:39.007000
|
https://github.com/ramprs/neuron-importance-zsl
| 57 |
Choose your neuron: Incorporating domain knowledge through neuron-importance
|
https://scholar.google.com/scholar?cluster=11966532585080079409&hl=en&as_sdt=0,47
| 5 | 2,018 |
Visual Question Generation for Class Acquisition of Unknown Objects
| 16 |
eccv
| 4 | 0 |
2023-06-16 23:55:39.219000
|
https://github.com/mil-tokyo/vqg-unknown
| 10 |
Visual question generation for class acquisition of unknown objects
|
https://scholar.google.com/scholar?cluster=15532793729573101805&hl=en&as_sdt=0,21
| 16 | 2,018 |
Pairwise Confusion for Fine-Grained Visual Classification
| 193 |
eccv
| 39 | 3 |
2023-06-16 23:55:39.431000
|
https://github.com/abhimanyudubey/confusion
| 196 |
Pairwise confusion for fine-grained visual classification
|
https://scholar.google.com/scholar?cluster=4225334889143437735&hl=en&as_sdt=0,31
| 7 | 2,018 |
Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks
| 103 |
eccv
| 1 | 2 |
2023-06-16 23:55:39.651000
|
https://github.com/Siyeong-Lee/Deep_Recursive_HDRI
| 17 |
Deep recursive hdri: Inverse tone mapping using generative adversarial networks
|
https://scholar.google.com/scholar?cluster=13565930299432705431&hl=en&as_sdt=0,33
| 2 | 2,018 |
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
| 543 |
eccv
| 91 | 2 |
2023-06-16 23:55:39.863000
|
https://github.com/DLR-RM/AugmentedAutoencoder
| 316 |
Implicit 3d orientation learning for 6d object detection from rgb images
|
https://scholar.google.com/scholar?cluster=7729841025223671845&hl=en&as_sdt=0,48
| 15 | 2,018 |
Compressing the Input for CNNs with the First-Order Scattering Transform
| 31 |
eccv
| 2 | 1 |
2023-06-16 23:55:40.074000
|
https://github.com/edouardoyallon/pyscatlight
| 9 |
Compressing the input for cnns with the first-order scattering transform
|
https://scholar.google.com/scholar?cluster=16128832336651542063&hl=en&as_sdt=0,47
| 5 | 2,018 |
Unified Perceptual Parsing for Scene Understanding
| 964 |
eccv
| 69 | 13 |
2023-06-16 23:55:40.286000
|
https://github.com/CSAILVision/unifiedparsing
| 371 |
Unified perceptual parsing for scene understanding
|
https://scholar.google.com/scholar?cluster=7624463121009759752&hl=en&as_sdt=0,5
| 31 | 2,018 |
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
| 571 |
eccv
| 117 | 14 |
2023-06-16 23:55:40.497000
|
https://github.com/XingangPan/IBN-Net
| 761 |
Two at once: Enhancing learning and generalization capacities via ibn-net
|
https://scholar.google.com/scholar?cluster=12108818558057639369&hl=en&as_sdt=0,5
| 20 | 2,018 |
Learning Type-Aware Embeddings for Fashion Compatibility
| 219 |
eccv
| 42 | 16 |
2023-06-16 23:55:40.707000
|
https://github.com/mvasil/fashion-compatibility
| 134 |
Learning type-aware embeddings for fashion compatibility
|
https://scholar.google.com/scholar?cluster=4893895307388417428&hl=en&as_sdt=0,15
| 8 | 2,018 |
Image Inpainting for Irregular Holes Using Partial Convolutions
| 1,775 |
eccv
| 211 | 26 |
2023-06-16 23:55:40.919000
|
https://github.com/NVIDIA/partialconv
| 1,138 |
Image inpainting for irregular holes using partial convolutions
|
https://scholar.google.com/scholar?cluster=13570032890679637624&hl=en&as_sdt=0,33
| 35 | 2,018 |
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
| 10,656 |
eccv
| 46,279 | 1,207 |
2023-06-16 23:55:41.132000
|
https://github.com/tensorflow/models
| 75,921 |
Encoder-decoder with atrous separable convolution for semantic image segmentation
|
https://scholar.google.com/scholar?cluster=5370440400011509498&hl=en&as_sdt=0,43
| 2,774 | 2,018 |
W-TALC: Weakly-supervised Temporal Activity Localization and Classification
| 299 |
eccv
| 26 | 12 |
2023-06-16 23:55:41.343000
|
https://github.com/sujoyp/wtalc-pytorch
| 126 |
W-talc: Weakly-supervised temporal activity localization and classification
|
https://scholar.google.com/scholar?cluster=15163808419344516354&hl=en&as_sdt=0,33
| 5 | 2,018 |
Asynchronous, Photometric Feature Tracking using Events and Frames
| 128 |
eccv
| 31 | 3 |
2023-06-16 23:55:41.554000
|
https://github.com/uzh-rpg/rpg_eklt
| 110 |
Asynchronous, photometric feature tracking using events and frames
|
https://scholar.google.com/scholar?cluster=4703945787385512&hl=en&as_sdt=0,5
| 14 | 2,018 |
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
| 289 |
eccv
| 38 | 14 |
2023-06-16 23:55:41.766000
|
https://github.com/yikang-li/FactorizableNet
| 211 |
Factorizable net: an efficient subgraph-based framework for scene graph generation
|
https://scholar.google.com/scholar?cluster=8979043837696997695&hl=en&as_sdt=0,14
| 8 | 2,018 |
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
| 651 |
eccv
| 66 | 5 |
2023-06-16 23:55:41.978000
|
https://github.com/Microsoft/LQ-Nets
| 226 |
Lq-nets: Learned quantization for highly accurate and compact deep neural networks
|
https://scholar.google.com/scholar?cluster=3426009727719019497&hl=en&as_sdt=0,5
| 17 | 2,018 |
Deep Randomized Ensembles for Metric Learning
| 110 |
eccv
| 14 | 2 |
2023-06-16 23:55:42.189000
|
https://github.com/littleredxh/DREML
| 67 |
Deep randomized ensembles for metric learning
|
https://scholar.google.com/scholar?cluster=3555520024083710651&hl=en&as_sdt=0,43
| 7 | 2,018 |
ECO: Efficient Convolutional Network for Online Video Understanding
| 504 |
eccv
| 96 | 5 |
2023-06-16 23:55:42.401000
|
https://github.com/mzolfaghari/ECO-efficient-video-understanding
| 428 |
Eco: Efficient convolutional network for online video understanding
|
https://scholar.google.com/scholar?cluster=10960896672902242638&hl=en&as_sdt=0,5
| 40 | 2,018 |
Stereo relative pose from line and point feature triplets
| 14 |
eccv
| 0 | 0 |
2023-06-16 23:55:42.613000
|
https://github.com/alexandervakhitov/sego-paper-code
| 2 |
Stereo relative pose from line and point feature triplets
|
https://scholar.google.com/scholar?cluster=10920537995535353213&hl=en&as_sdt=0,46
| 1 | 2,018 |
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
| 119 |
eccv
| 23 | 3 |
2023-06-16 23:55:42.824000
|
https://github.com/recasens/Saliency-Sampler
| 152 |
Learning to zoom: a saliency-based sampling layer for neural networks
|
https://scholar.google.com/scholar?cluster=1561037491831749107&hl=en&as_sdt=0,9
| 4 | 2,018 |
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
| 736 |
eccv
| 41 | 6 |
2023-06-16 23:55:43.036000
|
https://github.com/facebookresearch/agem
| 188 |
Riemannian walk for incremental learning: Understanding forgetting and intransigence
|
https://scholar.google.com/scholar?cluster=4026195560787576416&hl=en&as_sdt=0,41
| 11 | 2,018 |
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
| 710 |
eccv
| 112 | 8 |
2023-06-16 23:55:43.247000
|
https://github.com/sacmehta/ESPNet
| 519 |
Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
|
https://scholar.google.com/scholar?cluster=11517977191335408434&hl=en&as_sdt=0,5
| 13 | 2,018 |
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
| 1,301 |
eccv
| 199 | 27 |
2023-06-16 23:55:43.458000
|
https://github.com/hszhao/ICNet
| 591 |
Icnet for real-time semantic segmentation on high-resolution images
|
https://scholar.google.com/scholar?cluster=4797791240153082941&hl=en&as_sdt=0,31
| 48 | 2,018 |
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting
| 238 |
eccv
| 36 | 0 |
2023-06-16 23:55:43.668000
|
https://github.com/VideoObjectSearch/ALFNet
| 84 |
Learning efficient single-stage pedestrian detectors by asymptotic localization fitting
|
https://scholar.google.com/scholar?cluster=11222490521494349722&hl=en&as_sdt=0,3
| 2 | 2,018 |
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
| 280 |
eccv
| 46 | 1 |
2023-06-16 23:55:43.879000
|
https://github.com/yewzijian/3DFeatNet
| 213 |
3dfeat-net: Weakly supervised local 3d features for point cloud registration
|
https://scholar.google.com/scholar?cluster=1523813137015825736&hl=en&as_sdt=0,44
| 19 | 2,018 |
Learning Human-Object Interactions by Graph Parsing Neural Networks
| 494 |
eccv
| 54 | 16 |
2023-06-16 23:55:44.090000
|
https://github.com/SiyuanQi/gpnn
| 223 |
Learning human-object interactions by graph parsing neural networks
|
https://scholar.google.com/scholar?cluster=10430461003414485356&hl=en&as_sdt=0,5
| 13 | 2,018 |
Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification
| 59 |
eccv
| 26 | 2 |
2023-06-16 23:55:44.301000
|
https://github.com/TIBHannover/GeoEstimation
| 85 |
Geolocation estimation of photos using a hierarchical model and scene classification
|
https://scholar.google.com/scholar?cluster=17539665549069158810&hl=en&as_sdt=0,1
| 8 | 2,018 |
Multi-scale Residual Network for Image Super-Resolution
| 641 |
eccv
| 58 | 2 |
2023-06-16 23:55:44.512000
|
https://github.com/MIVRC/MSRN-PyTorch
| 283 |
Multi-scale residual network for image super-resolution
|
https://scholar.google.com/scholar?cluster=1889935112564144187&hl=en&as_sdt=0,47
| 11 | 2,018 |
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
| 105 |
eccv
| 8 | 1 |
2023-06-16 23:55:44.723000
|
https://github.com/Zhaoxiangyun/Multi-Task-Modulation-Module
| 29 |
A modulation module for multi-task learning with applications in image retrieval
|
https://scholar.google.com/scholar?cluster=4124839274668983312&hl=en&as_sdt=0,5
| 8 | 2,018 |
Triplet Loss in Siamese Network for Object Tracking
| 544 |
eccv
| 17 | 4 |
2023-06-16 23:55:44.935000
|
https://github.com/shenjianbing/TripletTracking
| 73 |
Triplet loss in siamese network for object tracking
|
https://scholar.google.com/scholar?cluster=14601093234970980253&hl=en&as_sdt=0,5
| 11 | 2,018 |
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
| 184 |
eccv
| 43 | 7 |
2023-06-16 23:55:45.146000
|
https://github.com/Prinsphield/ELEGANT
| 263 |
Elegant: Exchanging latent encodings with gan for transferring multiple face attributes
|
https://scholar.google.com/scholar?cluster=17637222949126620423&hl=en&as_sdt=0,10
| 10 | 2,018 |
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation
| 78 |
eccv
| 28 | 4 |
2023-06-16 23:55:45.357000
|
https://github.com/awesome-davian/Text2Colors
| 145 |
Coloring with words: Guiding image colorization through text-based palette generation
|
https://scholar.google.com/scholar?cluster=508233184644091396&hl=en&as_sdt=0,34
| 2 | 2,018 |
Variational Wasserstein Clustering
| 44 |
eccv
| 3 | 0 |
2023-06-16 23:55:45.568000
|
https://github.com/icemiliang/vot
| 6 |
Variational wasserstein clustering
|
https://scholar.google.com/scholar?cluster=1321628383156996431&hl=en&as_sdt=0,47
| 4 | 2,018 |
Diagnosing Error in Temporal Action Detectors
| 84 |
eccv
| 19 | 0 |
2023-06-16 23:55:45.779000
|
https://github.com/HumamAlwassel/DETAD
| 59 |
Diagnosing error in temporal action detectors
|
https://scholar.google.com/scholar?cluster=5337171087786136227&hl=en&as_sdt=0,44
| 6 | 2,018 |
Efficient Semantic Scene Completion Network with Spatial Group Convolution
| 70 |
eccv
| 7 | 1 |
2023-06-16 23:55:45.990000
|
https://github.com/zjhthu/SGC-Release
| 42 |
Efficient semantic scene completion network with spatial group convolution
|
https://scholar.google.com/scholar?cluster=13896431120284365470&hl=en&as_sdt=0,36
| 2 | 2,018 |
Macro-Micro Adversarial Network for Human Parsing
| 141 |
eccv
| 35 | 7 |
2023-06-16 23:55:46.201000
|
https://github.com/RoyalVane/MMAN
| 208 |
Macro-micro adversarial network for human parsing
|
https://scholar.google.com/scholar?cluster=14930739577336981642&hl=en&as_sdt=0,11
| 12 | 2,018 |
SketchyScene: Richly-Annotated Scene Sketches
| 53 |
eccv
| 22 | 1 |
2023-06-16 23:55:46.413000
|
https://github.com/SketchyScene/SketchyScene
| 93 |
Sketchyscene: Richly-annotated scene sketches
|
https://scholar.google.com/scholar?cluster=8715577846603708273&hl=en&as_sdt=0,5
| 7 | 2,018 |
Contour Knowledge Transfer for Salient Object Detection
| 288 |
eccv
| 7 | 4 |
2023-06-16 23:55:46.625000
|
https://github.com/lixin666/C2SNet
| 21 |
Contour knowledge transfer for salient object detection
|
https://scholar.google.com/scholar?cluster=13596246652369619853&hl=en&as_sdt=0,23
| 2 | 2,018 |
GANimation: Anatomically-aware Facial Animation from a Single Image
| 563 |
eccv
| 405 | 43 |
2023-06-16 23:55:46.836000
|
https://github.com/albertpumarola/GANimation
| 1,875 |
Ganimation: Anatomically-aware facial animation from a single image
|
https://scholar.google.com/scholar?cluster=15397536897136412791&hl=en&as_sdt=0,39
| 76 | 2,018 |
Interpretable Basis Decomposition for Visual Explanation
| 251 |
eccv
| 12 | 3 |
2023-06-16 23:55:47.048000
|
https://github.com/CSAILVision/IBD
| 48 |
Interpretable basis decomposition for visual explanation
|
https://scholar.google.com/scholar?cluster=17221817189442156654&hl=en&as_sdt=0,31
| 6 | 2,018 |
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification
| 89 |
eccv
| 6 | 0 |
2023-06-16 23:55:47.261000
|
https://github.com/sergeyprokudin/deep_direct_stat
| 24 |
Deep directional statistics: Pose estimation with uncertainty quantification
|
https://scholar.google.com/scholar?cluster=9539003849820712184&hl=en&as_sdt=0,5
| 4 | 2,018 |
Decouple Learning for Parameterized Image Operators
| 56 |
eccv
| 10 | 1 |
2023-06-16 23:55:47.472000
|
https://github.com/fqnchina/DecoupleLearning
| 61 |
Decouple learning for parameterized image operators
|
https://scholar.google.com/scholar?cluster=10946920911350547430&hl=en&as_sdt=0,5
| 4 | 2,018 |
Pose-Normalized Image Generation for Person Re-identification
| 450 |
eccv
| 39 | 0 |
2023-06-16 23:55:47.684000
|
https://github.com/naiq/PN_GAN
| 136 |
Pose-normalized image generation for person re-identification
|
https://scholar.google.com/scholar?cluster=15077486839262294602&hl=en&as_sdt=0,10
| 10 | 2,018 |
ReenactGAN: Learning to Reenact Faces via Boundary Transfer
| 179 |
eccv
| 41 | 11 |
2023-06-16 23:55:47.895000
|
https://github.com/wywu/ReenactGAN
| 183 |
Reenactgan: Learning to reenact faces via boundary transfer
|
https://scholar.google.com/scholar?cluster=14279350909850753234&hl=en&as_sdt=0,5
| 12 | 2,018 |
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
| 45 |
eccv
| 22 | 1 |
2023-06-17 00:17:45.481000
|
https://github.com/sitzikbs/DeepFit
| 121 |
DeepFit: 3D surface fitting via neural network weighted least squares
|
https://scholar.google.com/scholar?cluster=10456104335954104816&hl=en&as_sdt=0,3
| 7 | 2,020 |
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
| 120 |
eccv
| 36 | 16 |
2023-06-17 00:17:45.692000
|
https://github.com/mikelzc1990/nsganetv2
| 123 |
Nsganetv2: Evolutionary multi-objective surrogate-assisted neural architecture search
|
https://scholar.google.com/scholar?cluster=14365548612592408605&hl=en&as_sdt=0,48
| 3 | 2,020 |
AiR: Attention with Reasoning Capability
| 20 |
eccv
| 5 | 0 |
2023-06-17 00:17:45.905000
|
https://github.com/szzexpoi/AiR
| 42 |
Air: Attention with reasoning capability
|
https://scholar.google.com/scholar?cluster=17537398935505742003&hl=en&as_sdt=0,10
| 1 | 2,020 |
Self6D: Self-Supervised Monocular 6D Object Pose Estimation
| 94 |
eccv
| 16 | 1 |
2023-06-17 00:17:46.132000
|
https://github.com/THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
| 98 |
Self6d: Self-supervised monocular 6d object pose estimation
|
https://scholar.google.com/scholar?cluster=6319219398403719659&hl=en&as_sdt=0,41
| 6 | 2,020 |
Invertible Image Rescaling
| 140 |
eccv
| 86 | 27 |
2023-06-17 00:17:46.344000
|
https://github.com/pkuxmq/Invertible-Image-Rescaling
| 575 |
Invertible image rescaling
|
https://scholar.google.com/scholar?cluster=8259694236280829797&hl=en&as_sdt=0,5
| 17 | 2,020 |
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
| 99 |
eccv
| 8 | 6 |
2023-06-17 00:17:46.587000
|
https://github.com/YingdaXia/SynthCP
| 56 |
Synthesize then compare: Detecting failures and anomalies for semantic segmentation
|
https://scholar.google.com/scholar?cluster=13185305449171460350&hl=en&as_sdt=0,5
| 6 | 2,020 |
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment
| 97 |
eccv
| 81 | 39 |
2023-06-17 00:17:46.810000
|
https://github.com/microsoft/voxelpose-pytorch
| 396 |
Voxelpose: Towards multi-camera 3d human pose estimation in wild environment
|
https://scholar.google.com/scholar?cluster=6897562467519549173&hl=en&as_sdt=0,5
| 24 | 2,020 |
End-to-End Object Detection with Transformers
| 6,498 |
eccv
| 2,035 | 223 |
2023-06-17 00:17:47.021000
|
https://github.com/facebookresearch/detr
| 11,190 |
End-to-end object detection with transformers
|
https://scholar.google.com/scholar?cluster=1672665553767281734&hl=en&as_sdt=0,5
| 146 | 2,020 |
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
| 70 |
eccv
| 46 | 17 |
2023-06-17 00:17:47.232000
|
https://github.com/detectRecog/PointTrack
| 256 |
Segment as points for efficient online multi-object tracking and segmentation
|
https://scholar.google.com/scholar?cluster=8044121534115806381&hl=en&as_sdt=0,44
| 17 | 2,020 |
Conditional Convolutions for Instance Segmentation
| 421 |
eccv
| 635 | 291 |
2023-06-17 00:17:47.443000
|
https://github.com/aim-uofa/AdelaiDet
| 3,151 |
Conditional convolutions for instance segmentation
|
https://scholar.google.com/scholar?cluster=12541147144211358106&hl=en&as_sdt=0,5
| 86 | 2,020 |
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
| 68 |
eccv
| 33 | 2 |
2023-06-17 00:17:47.655000
|
https://github.com/taoyang1122/MutualNet
| 153 |
Mutualnet: Adaptive convnet via mutual learning from network width and resolution
|
https://scholar.google.com/scholar?cluster=13502072080557203486&hl=en&as_sdt=0,22
| 8 | 2,020 |
Rewriting a Deep Generative Model
| 86 |
eccv
| 74 | 7 |
2023-06-17 00:17:47.867000
|
https://github.com/davidbau/rewriting
| 534 |
Rewriting a deep generative model
|
https://scholar.google.com/scholar?cluster=8376346966151872875&hl=en&as_sdt=0,15
| 20 | 2,020 |
Long-term Human Motion Prediction with Scene Context
| 134 |
eccv
| 17 | 7 |
2023-06-17 00:17:48.078000
|
https://github.com/ZheC/GTA-IM-Dataset
| 226 |
Long-term human motion prediction with scene context
|
https://scholar.google.com/scholar?cluster=5087686040073754886&hl=en&as_sdt=0,44
| 13 | 2,020 |
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
| 3,251 |
eccv
| 1,137 | 98 |
2023-06-17 00:17:48.289000
|
https://github.com/bmild/nerf
| 7,744 |
Nerf: Representing scenes as neural radiance fields for view synthesis
|
https://scholar.google.com/scholar?cluster=14862000915171929687&hl=en&as_sdt=0,5
| 137 | 2,020 |
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes
| 101 |
eccv
| 13 | 4 |
2023-06-17 00:17:48.500000
|
https://github.com/referit3d/referit3d
| 76 |
Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
|
https://scholar.google.com/scholar?cluster=16275930031096682017&hl=en&as_sdt=0,47
| 3 | 2,020 |
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images
| 71 |
eccv
| 14 | 1 |
2023-06-17 00:17:48.711000
|
https://github.com/brownvc/matryodshka
| 81 |
MatryODShka: Real-time 6DoF video view synthesis using multi-sphere images
|
https://scholar.google.com/scholar?cluster=10989159617796509767&hl=en&as_sdt=0,33
| 18 | 2,020 |
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition
| 73 |
eccv
| 9 | 1 |
2023-06-17 00:17:48.921000
|
https://github.com/gtolias/how
| 80 |
Learning and aggregating deep local descriptors for instance-level recognition
|
https://scholar.google.com/scholar?cluster=194520734846708730&hl=en&as_sdt=0,5
| 9 | 2,020 |
A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem
| 44 |
eccv
| 17 | 1 |
2023-06-17 00:17:49.133000
|
https://github.com/terzakig/sqpnp
| 110 |
A consistently fast and globally optimal solution to the perspective-n-point problem
|
https://scholar.google.com/scholar?cluster=13709100810172483109&hl=en&as_sdt=0,33
| 10 | 2,020 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.