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Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
| 3 |
eccv
| 2 | 0 |
2023-06-17 00:59:52.559000
|
https://github.com/gorilla-lab-scut/qs3
| 10 |
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
|
https://scholar.google.com/scholar?cluster=5597206378696973800&hl=en&as_sdt=0,5
| 0 | 2,022 |
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
| 4 |
eccv
| 0 | 1 |
2023-06-17 00:59:52.772000
|
https://github.com/ETHRuiGong/TADA
| 9 |
TACS: Taxonomy adaptive cross-domain semantic segmentation
|
https://scholar.google.com/scholar?cluster=9748486556084036411&hl=en&as_sdt=0,10
| 1 | 2,022 |
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
| 23 |
eccv
| 5 | 1 |
2023-06-17 00:59:52.991000
|
https://github.com/jiangzhengkai/proca
| 36 |
Prototypical contrast adaptation for domain adaptive semantic segmentation
|
https://scholar.google.com/scholar?cluster=18247261042350694594&hl=en&as_sdt=0,5
| 2 | 2,022 |
Factorizing Knowledge in Neural Networks
| 43 |
eccv
| 4 | 2 |
2023-06-17 00:59:53.219000
|
https://github.com/adamdad/knowledgefactor
| 66 |
Factorizing knowledge in neural networks
|
https://scholar.google.com/scholar?cluster=10840229611357646465&hl=en&as_sdt=0,11
| 1 | 2,022 |
Contrastive Vicinal Space for Unsupervised Domain Adaptation
| 6 |
eccv
| 2 | 3 |
2023-06-17 00:59:53.431000
|
https://github.com/najaemin92/covi
| 7 |
Contrastive vicinal space for unsupervised domain adaptation
|
https://scholar.google.com/scholar?cluster=11822924811808351967&hl=en&as_sdt=0,19
| 1 | 2,022 |
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
| 4 |
eccv
| 1 | 2 |
2023-06-17 00:59:53.643000
|
https://github.com/theo2021/onda
| 21 |
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
|
https://scholar.google.com/scholar?cluster=13123083871593814171&hl=en&as_sdt=0,5
| 5 | 2,022 |
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition
| 12 |
eccv
| 2 | 0 |
2023-06-17 00:59:53.856000
|
https://github.com/xuyu0010/atcon
| 16 |
Source-free video domain adaptation by learning temporal consistency for action recognition
|
https://scholar.google.com/scholar?cluster=16148930639028163885&hl=en&as_sdt=0,5
| 2 | 2,022 |
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation
| 14 |
eccv
| 0 | 0 |
2023-06-17 00:59:54.068000
|
https://github.com/ispc-lab/bmd
| 21 |
BMD: A general class-balanced multicentric dynamic prototype strategy for source-free domain adaptation
|
https://scholar.google.com/scholar?cluster=14638148510749193557&hl=en&as_sdt=0,33
| 1 | 2,022 |
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
| 6 |
eccv
| 2 | 4 |
2023-06-17 00:59:54.281000
|
https://github.com/google-research/pactran_metrics
| 13 |
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
|
https://scholar.google.com/scholar?cluster=12501188496378767771&hl=en&as_sdt=0,5
| 2 | 2,022 |
Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space
| 1 |
eccv
| 0 | 4 |
2023-06-17 00:59:54.493000
|
https://github.com/tencentarc/sfda
| 17 |
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
|
https://scholar.google.com/scholar?cluster=5216001205389522548&hl=en&as_sdt=0,5
| 2 | 2,022 |
Attention Diversification for Domain Generalization
| 10 |
eccv
| 4 | 0 |
2023-06-17 00:59:54.705000
|
https://github.com/hikvision-research/domaingeneralization
| 35 |
Attention diversification for domain generalization
|
https://scholar.google.com/scholar?cluster=10487515382646340469&hl=en&as_sdt=0,10
| 5 | 2,022 |
ESS: Learning Event-Based Semantic Segmentation from Still Images
| 19 |
eccv
| 7 | 3 |
2023-06-17 00:59:54.917000
|
https://github.com/uzh-rpg/ess
| 47 |
Ess: Learning event-based semantic segmentation from still images
|
https://scholar.google.com/scholar?cluster=4136513580895924966&hl=en&as_sdt=0,5
| 6 | 2,022 |
Human Trajectory Prediction via Neural Social Physics
| 13 |
eccv
| 13 | 12 |
2023-06-17 00:59:55.130000
|
https://github.com/realcrane/human-trajectory-prediction-via-neural-social-physics
| 69 |
Human trajectory prediction via neural social physics
|
https://scholar.google.com/scholar?cluster=890292311615588687&hl=en&as_sdt=0,5
| 4 | 2,022 |
ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound
| 11 |
eccv
| 6 | 2 |
2023-06-17 00:59:55.343000
|
https://github.com/GenjiB/ECLIPSE
| 21 |
EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound
|
https://scholar.google.com/scholar?cluster=13579006365454724438&hl=en&as_sdt=0,5
| 1 | 2,022 |
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing
| 7 |
eccv
| 2 | 1 |
2023-06-17 00:59:55.556000
|
https://github.com/mcg-nju/jomold
| 25 |
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing
|
https://scholar.google.com/scholar?cluster=12645873220814826202&hl=en&as_sdt=0,5
| 2 | 2,022 |
Real-Time Online Video Detection with Temporal Smoothing Transformers
| 2 |
eccv
| 4 | 3 |
2023-06-17 00:59:55.770000
|
https://github.com/zhaoyue-zephyrus/testra
| 70 |
Real-Time Online Video Detection with Temporal Smoothing Transformers
|
https://scholar.google.com/scholar?cluster=18281896572010683419&hl=en&as_sdt=0,10
| 2 | 2,022 |
TALLFormer: Temporal Action Localization with a Long-Memory Transformer
| 20 |
eccv
| 2 | 8 |
2023-06-17 00:59:55.982000
|
https://github.com/klauscc/tallformer
| 39 |
TallFormer: Temporal Action Localization with a Long-Memory Transformer
|
https://scholar.google.com/scholar?cluster=15017107856472045012&hl=en&as_sdt=0,28
| 3 | 2,022 |
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation
| 5 |
eccv
| 4 | 1 |
2023-06-17 00:59:56.219000
|
https://github.com/guoleisun/vss-mrcfa
| 21 |
Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation
|
https://scholar.google.com/scholar?cluster=13563533975816670492&hl=en&as_sdt=0,31
| 1 | 2,022 |
Rethinking Learning Approaches for Long-Term Action Anticipation
| 3 |
eccv
| 1 | 0 |
2023-06-17 00:59:56.431000
|
https://github.com/nmegha2601/anticipatr
| 7 |
Rethinking Learning Approaches for Long-Term Action Anticipation
|
https://scholar.google.com/scholar?cluster=9860931350837211383&hl=en&as_sdt=0,5
| 3 | 2,022 |
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
| 8 |
eccv
| 3 | 2 |
2023-06-17 00:59:56.644000
|
https://github.com/sail-sg/dualformer
| 23 |
Dualformer: Local-global stratified transformer for efficient video recognition
|
https://scholar.google.com/scholar?cluster=5432221077116828342&hl=en&as_sdt=0,5
| 3 | 2,022 |
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
| 17 |
eccv
| 1 | 9 |
2023-06-17 00:59:56.856000
|
https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN
| 20 |
Hierarchical feature alignment network for unsupervised video object segmentation
|
https://scholar.google.com/scholar?cluster=9672488249865839397&hl=en&as_sdt=0,33
| 1 | 2,022 |
How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?
| 4 |
eccv
| 2 | 0 |
2023-06-17 00:59:57.068000
|
https://github.com/fmthoker/severe-benchmark
| 18 |
How Severe Is Benchmark-Sensitivity in Video Self-supervised Learning?
|
https://scholar.google.com/scholar?cluster=17663216619245090292&hl=en&as_sdt=0,16
| 2 | 2,022 |
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
| 9 |
eccv
| 6 | 0 |
2023-06-17 00:59:57.281000
|
https://github.com/boschresearch/uvast
| 19 |
Unified fully and timestamp supervised temporal action segmentation via sequence to sequence translation
|
https://scholar.google.com/scholar?cluster=11800477731611681372&hl=en&as_sdt=0,47
| 6 | 2,022 |
Efficient Video Transformers with Spatial-Temporal Token Selection
| 19 |
eccv
| 3 | 2 |
2023-06-17 00:59:57.493000
|
https://github.com/wangjk666/stts
| 26 |
Efficient video transformers with spatial-temporal token selection
|
https://scholar.google.com/scholar?cluster=2538914770043000786&hl=en&as_sdt=0,33
| 3 | 2,022 |
Long Movie Clip Classification with State-Space Video Models
| 16 |
eccv
| 2 | 6 |
2023-06-17 00:59:57.705000
|
https://github.com/md-mohaiminul/ViS4mer
| 32 |
Long movie clip classification with state-space video models
|
https://scholar.google.com/scholar?cluster=6503165072649077877&hl=en&as_sdt=0,5
| 1 | 2,022 |
Prompting Visual-Language Models for Efficient Video Understanding
| 93 |
eccv
| 6 | 4 |
2023-06-17 00:59:57.919000
|
https://github.com/ju-chen/Efficient-Prompt
| 143 |
Prompting visual-language models for efficient video understanding
|
https://scholar.google.com/scholar?cluster=267484077532007560&hl=en&as_sdt=0,5
| 12 | 2,022 |
Self-Supervised Social Relation Representation for Human Group Detection
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:59:58.132000
|
https://github.com/jiaoma/shgd
| 3 |
Self-supervised Social Relation Representation for Human Group Detection
|
https://scholar.google.com/scholar?cluster=14185808079610011178&hl=en&as_sdt=0,47
| 1 | 2,022 |
A Deep Moving-Camera Background Model
| 0 |
eccv
| 5 | 1 |
2023-06-17 00:59:58.344000
|
https://github.com/bgu-cs-vil/deepmcbm
| 34 |
A Deep Moving-Camera Background Model
|
https://scholar.google.com/scholar?cluster=14745114131372795526&hl=en&as_sdt=0,5
| 6 | 2,022 |
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning
| 8 |
eccv
| 15 | 0 |
2023-06-17 00:59:58.556000
|
https://github.com/MTLab/MorphMLP
| 160 |
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning
|
https://scholar.google.com/scholar?cluster=15037267593155101529&hl=en&as_sdt=0,5
| 11 | 2,022 |
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
| 3 |
eccv
| 3 | 0 |
2023-06-17 00:59:58.769000
|
https://github.com/hongluzhou/composer
| 17 |
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
|
https://scholar.google.com/scholar?cluster=3314305974342041018&hl=en&as_sdt=0,5
| 2 | 2,022 |
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context
| 3 |
eccv
| 2 | 0 |
2023-06-17 00:59:58.980000
|
https://github.com/kyleleey/e-nerv
| 21 |
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context
|
https://scholar.google.com/scholar?cluster=18039152217323552651&hl=en&as_sdt=0,39
| 2 | 2,022 |
Semi-Supervised Learning of Optical Flow by Flow Supervisor
| 3 |
eccv
| 1 | 0 |
2023-06-17 00:59:59.218000
|
https://github.com/iwbn/flow-supervisor
| 17 |
Semi-Supervised Learning of Optical Flow by Flow Supervisor
|
https://scholar.google.com/scholar?cluster=14986476376893472089&hl=en&as_sdt=0,43
| 3 | 2,022 |
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos
| 1 |
eccv
| 1 | 1 |
2023-06-17 00:59:59.431000
|
https://github.com/amazon-science/self-supervised-maclr
| 9 |
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos
|
https://scholar.google.com/scholar?cluster=8456383965807435758&hl=en&as_sdt=0,29
| 10 | 2,022 |
Frozen CLIP Models Are Efficient Video Learners
| 34 |
eccv
| 13 | 18 |
2023-06-17 00:59:59.644000
|
https://github.com/opengvlab/efficient-video-recognition
| 120 |
Frozen clip models are efficient video learners
|
https://scholar.google.com/scholar?cluster=16057670792750577500&hl=en&as_sdt=0,5
| 5 | 2,022 |
Panoramic Vision Transformer for Saliency Detection in 360° Videos
| 4 |
eccv
| 3 | 2 |
2023-06-17 00:59:59.857000
|
https://github.com/hs-yn/paver
| 15 |
Panoramic Vision Transformer for Saliency Detection in 360 Videos
|
https://scholar.google.com/scholar?cluster=3748316331390349636&hl=en&as_sdt=0,10
| 2 | 2,022 |
Dynamic Temporal Filtering In Video Models
| 10 |
eccv
| 0 | 1 |
2023-06-17 01:00:00.079000
|
https://github.com/fuchenustc/dtf
| 12 |
Dynamic temporal filtering in video models
|
https://scholar.google.com/scholar?cluster=17477329483444141468&hl=en&as_sdt=0,5
| 2 | 2,022 |
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification
| 30 |
eccv
| 24 | 10 |
2023-06-17 01:00:00.320000
|
https://github.com/gaopengcuhk/tip-adapter
| 283 |
Tip-adapter: Training-free adaption of clip for few-shot classification
|
https://scholar.google.com/scholar?cluster=3256821949763414308&hl=en&as_sdt=0,5
| 6 | 2,022 |
Temporal Lift Pooling for Continuous Sign Language Recognition
| 8 |
eccv
| 2 | 2 |
2023-06-17 01:00:00.551000
|
https://github.com/hulianyuyy/Temporal-Lift-Pooling
| 12 |
Temporal lift pooling for continuous sign language recognition
|
https://scholar.google.com/scholar?cluster=16069408502002596313&hl=en&as_sdt=0,39
| 1 | 2,022 |
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
| 9 |
eccv
| 3 | 0 |
2023-06-17 01:00:00.767000
|
https://github.com/SxJyJay/MORE
| 13 |
More: Multi-order relation mining for dense captioning in 3d scenes
|
https://scholar.google.com/scholar?cluster=1604636413258715927&hl=en&as_sdt=0,5
| 1 | 2,022 |
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding
| 5 |
eccv
| 0 | 1 |
2023-06-17 01:00:00.981000
|
https://github.com/qumengxue/siri-vg
| 4 |
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding
|
https://scholar.google.com/scholar?cluster=11705649752847714960&hl=en&as_sdt=0,5
| 1 | 2,022 |
Cross-Modal Prototype Driven Network for Radiology Report Generation
| 7 |
eccv
| 4 | 6 |
2023-06-17 01:00:01.207000
|
https://github.com/markin-wang/xpronet
| 29 |
Cross-modal prototype driven network for radiology report generation
|
https://scholar.google.com/scholar?cluster=886158982898018569&hl=en&as_sdt=0,10
| 1 | 2,022 |
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
| 15 |
eccv
| 8 | 2 |
2023-06-17 01:00:01.421000
|
https://github.com/EricGuo5513/TM2T
| 54 |
Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts
|
https://scholar.google.com/scholar?cluster=240678341877763939&hl=en&as_sdt=0,47
| 4 | 2,022 |
SeqTR: A Simple Yet Universal Network for Visual Grounding
| 21 |
eccv
| 8 | 9 |
2023-06-17 01:00:01.634000
|
https://github.com/sean-zhuh/seqtr
| 98 |
Seqtr: A simple yet universal network for visual grounding
|
https://scholar.google.com/scholar?cluster=16625342362223559486&hl=en&as_sdt=0,31
| 2 | 2,022 |
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
| 13 |
eccv
| 5 | 2 |
2023-06-17 01:00:01.848000
|
https://github.com/brandonhanx/mmf
| 45 |
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
|
https://scholar.google.com/scholar?cluster=5484876750844369889&hl=en&as_sdt=0,43
| 4 | 2,022 |
Weakly Supervised Grounding for VQA in Vision-Language Transformers
| 0 |
eccv
| 2 | 1 |
2023-06-17 01:00:02.061000
|
https://github.com/aurooj/wsg-vqa-vltransformers
| 13 |
Weakly Supervised Grounding for VQA in Vision-Language Transformers
|
https://scholar.google.com/scholar?cluster=2769282884337170315&hl=en&as_sdt=0,5
| 2 | 2,022 |
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval
| 18 |
eccv
| 15 | 9 |
2023-06-17 01:00:02.274000
|
https://github.com/tencentarc/mcq
| 115 |
Miles: visual bert pre-training with injected language semantics for video-text retrieval
|
https://scholar.google.com/scholar?cluster=11340027733286940492&hl=en&as_sdt=0,5
| 4 | 2,022 |
Video Graph Transformer for Video Question Answering
| 12 |
eccv
| 9 | 1 |
2023-06-17 01:00:02.496000
|
https://github.com/sail-sg/vgt
| 32 |
Video graph transformer for video question answering
|
https://scholar.google.com/scholar?cluster=11691195303287369728&hl=en&as_sdt=0,5
| 4 | 2,022 |
Rethinking Data Augmentation for Robust Visual Question Answering
| 12 |
eccv
| 0 | 2 |
2023-06-17 01:00:02.714000
|
https://github.com/itemzheng/kddaug
| 9 |
Rethinking data augmentation for robust visual question answering
|
https://scholar.google.com/scholar?cluster=447635406700735492&hl=en&as_sdt=0,10
| 2 | 2,022 |
Explicit Image Caption Editing
| 6 |
eccv
| 1 | 1 |
2023-06-17 01:00:02.940000
|
https://github.com/baaaad/ece
| 18 |
Explicit Image Caption Editing
|
https://scholar.google.com/scholar?cluster=689303873355435212&hl=en&as_sdt=0,5
| 1 | 2,022 |
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
| 5 |
eccv
| 4 | 0 |
2023-06-17 01:00:03.158000
|
https://github.com/haojc/shufflingvideosfortsg
| 25 |
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
|
https://scholar.google.com/scholar?cluster=2849764449511253740&hl=en&as_sdt=0,33
| 2 | 2,022 |
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly
| 9 |
eccv
| 5 | 0 |
2023-06-17 01:00:03.372000
|
https://github.com/facebookresearch/reliable_vqa
| 24 |
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly
|
https://scholar.google.com/scholar?cluster=15896341822502397294&hl=en&as_sdt=0,5
| 7 | 2,022 |
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features
| 26 |
eccv
| 15 | 7 |
2023-06-17 01:00:03.585000
|
https://github.com/davidnvq/grit
| 127 |
Grit: Faster and better image captioning transformer using dual visual features
|
https://scholar.google.com/scholar?cluster=7449981441263246501&hl=en&as_sdt=0,5
| 3 | 2,022 |
Object-Centric Unsupervised Image Captioning
| 4 |
eccv
| 2 | 2 |
2023-06-17 01:00:03.798000
|
https://github.com/zihangm/obj-centric-unsup-caption
| 8 |
Object-Centric Unsupervised Image Captioning
|
https://scholar.google.com/scholar?cluster=13124646174189532262&hl=en&as_sdt=0,44
| 1 | 2,022 |
Contrastive Vision-Language Pre-training with Limited Resources
| 6 |
eccv
| 4 | 4 |
2023-06-17 01:00:04.021000
|
https://github.com/zerovl/zerovl
| 35 |
Contrastive Vision-Language Pre-training with Limited Resources
|
https://scholar.google.com/scholar?cluster=13621146277573179415&hl=en&as_sdt=0,33
| 3 | 2,022 |
Word-Level Fine-Grained Story Visualization
| 5 |
eccv
| 0 | 1 |
2023-06-17 01:00:04.240000
|
https://github.com/mrlibw/word-level-story-visualization
| 7 |
Word-Level Fine-Grained Story Visualization
|
https://scholar.google.com/scholar?cluster=8337966701810762036&hl=en&as_sdt=0,21
| 4 | 2,022 |
Unifying Event Detection and Captioning as Sequence Generation via Pre-training
| 5 |
eccv
| 2 | 2 |
2023-06-17 01:00:04.453000
|
https://github.com/qiqang/uedvc
| 6 |
Unifying Event Detection and Captioning as Sequence Generation via Pre-training
|
https://scholar.google.com/scholar?cluster=11398121099079320213&hl=en&as_sdt=0,14
| 1 | 2,022 |
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation
| 10 |
eccv
| 0 | 0 |
2023-06-17 01:00:04.666000
|
https://github.com/clin1223/mtvm
| 17 |
Multimodal transformer with variable-length memory for vision-and-language navigation
|
https://scholar.google.com/scholar?cluster=15245768438884240344&hl=en&as_sdt=0,7
| 1 | 2,022 |
Fine-Grained Visual Entailment
| 0 |
eccv
| 0 | 0 |
2023-06-17 01:00:04.879000
|
https://github.com/skrighyz/fgve
| 11 |
Fine-Grained Visual Entailment
|
https://scholar.google.com/scholar?cluster=16304184403087727361&hl=en&as_sdt=0,5
| 2 | 2,022 |
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds
| 11 |
eccv
| 7 | 1 |
2023-06-17 01:00:05.093000
|
https://github.com/nickgkan/butd_detr
| 51 |
Bottom up top down detection transformers for language grounding in images and point clouds
|
https://scholar.google.com/scholar?cluster=5975344897755588707&hl=en&as_sdt=0,5
| 6 | 2,022 |
Classification-Regression for Chart Comprehension
| 7 |
eccv
| 4 | 1 |
2023-06-17 01:00:05.306000
|
https://github.com/levymsn/cqa-crct
| 24 |
Classification-regression for chart comprehension
|
https://scholar.google.com/scholar?cluster=1700240396983610337&hl=en&as_sdt=0,47
| 2 | 2,022 |
AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant
| 8 |
eccv
| 5 | 1 |
2023-06-17 01:00:05.520000
|
https://github.com/showlab/Q2A
| 17 |
Assistq: Affordance-centric question-driven task completion for egocentric assistant
|
https://scholar.google.com/scholar?cluster=7734678808440074882&hl=en&as_sdt=0,31
| 3 | 2,022 |
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
| 25 |
eccv
| 5 | 4 |
2023-06-17 01:00:05.734000
|
https://github.com/microsoft/UniTAB
| 68 |
Unitab: Unifying text and box outputs for grounded vision-language modeling
|
https://scholar.google.com/scholar?cluster=4803373243514933274&hl=en&as_sdt=0,5
| 5 | 2,022 |
Speaker-Adaptive Lip Reading with User-Dependent Padding
| 5 |
eccv
| 0 | 0 |
2023-06-17 01:00:05.952000
|
https://github.com/ms-dot-k/User-dependent-Padding
| 2 |
Speaker-adaptive Lip Reading with User-dependent Padding
|
https://scholar.google.com/scholar?cluster=17763522654466182162&hl=en&as_sdt=0,5
| 1 | 2,022 |
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
| 4 |
eccv
| 2 | 1 |
2023-06-17 01:00:06.166000
|
https://github.com/vinairesearch/tise-toolbox
| 31 |
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
|
https://scholar.google.com/scholar?cluster=3627435139991791018&hl=en&as_sdt=0,34
| 3 | 2,022 |
NewsStories: Illustrating Articles with Visual Summaries
| 5 |
eccv
| 1 | 3 |
2023-06-17 01:00:06.380000
|
https://github.com/newsstoriesdata/newsstories.github.io
| 19 |
NewsStories: Illustrating articles with visual summaries
|
https://scholar.google.com/scholar?cluster=9816707230174674680&hl=en&as_sdt=0,33
| 0 | 2,022 |
FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation
| 2 |
eccv
| 1 | 0 |
2023-06-17 01:00:06.618000
|
https://github.com/eric-ai-lab/fedvln
| 9 |
FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation
|
https://scholar.google.com/scholar?cluster=11458385995379271180&hl=en&as_sdt=0,33
| 2 | 2,022 |
Sports Video Analysis on Large-Scale Data
| 1 |
eccv
| 6 | 2 |
2023-06-17 01:00:06.832000
|
https://github.com/jackwu502/nsva
| 31 |
Sports Video Analysis on Large-Scale Data
|
https://scholar.google.com/scholar?cluster=14505861862552262151&hl=en&as_sdt=0,5
| 2 | 2,022 |
Grounding Visual Representations with Texts for Domain Generalization
| 4 |
eccv
| 6 | 0 |
2023-06-17 01:00:07.047000
|
https://github.com/mswzeus/gvrt
| 31 |
Grounding visual representations with texts for domain generalization
|
https://scholar.google.com/scholar?cluster=3995014318717094250&hl=en&as_sdt=0,24
| 1 | 2,022 |
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
| 10 |
eccv
| 24 | 6 |
2023-06-17 01:00:07.275000
|
https://github.com/adymaharana/storydalle
| 288 |
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
|
https://scholar.google.com/scholar?cluster=10699382869180186165&hl=en&as_sdt=0,36
| 8 | 2,022 |
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
| 132 |
eccv
| 37 | 6 |
2023-06-17 01:00:07.488000
|
https://github.com/eleutherai/vqgan-clip
| 327 |
Vqgan-clip: Open domain image generation and editing with natural language guidance
|
https://scholar.google.com/scholar?cluster=525698880435488054&hl=en&as_sdt=0,11
| 9 | 2,022 |
End-to-End Active Speaker Detection
| 8 |
eccv
| 0 | 1 |
2023-06-17 01:00:07.702000
|
https://github.com/fuankarion/end-to-end-asd
| 3 |
End-to-end active speaker detection
|
https://scholar.google.com/scholar?cluster=2440596378456637356&hl=en&as_sdt=0,33
| 3 | 2,022 |
Adaptive Fine-Grained Sketch-Based Image Retrieval
| 7 |
eccv
| 0 | 0 |
2023-06-17 01:00:07.922000
|
https://github.com/ayankumarbhunia/adaptive-fgsbir
| 5 |
Adaptive fine-grained sketch-based image retrieval
|
https://scholar.google.com/scholar?cluster=13775672505240083357&hl=en&as_sdt=0,37
| 1 | 2,022 |
Quantized GAN for Complex Music Generation from Dance Videos
| 8 |
eccv
| 13 | 1 |
2023-06-17 01:00:08.136000
|
https://github.com/l-yezhu/d2m-gan
| 65 |
Quantized gan for complex music generation from dance videos
|
https://scholar.google.com/scholar?cluster=16389033554032178157&hl=en&as_sdt=0,5
| 6 | 2,022 |
Localizing Visual Sounds the Easy Way
| 23 |
eccv
| 5 | 4 |
2023-06-17 01:00:08.351000
|
https://github.com/stonemo/ez-vsl
| 19 |
Localizing visual sounds the easy way
|
https://scholar.google.com/scholar?cluster=9273108791941705691&hl=en&as_sdt=0,5
| 2 | 2,022 |
PACS: A Dataset for Physical Audiovisual Commonsense Reasoning
| 5 |
eccv
| 1 | 0 |
2023-06-17 01:00:08.564000
|
https://github.com/samuelyu2002/pacs
| 8 |
PACS: A Dataset for Physical Audiovisual CommonSense Reasoning
|
https://scholar.google.com/scholar?cluster=9586074467218759453&hl=en&as_sdt=0,23
| 2 | 2,022 |
VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer
| 7 |
eccv
| 6 | 2 |
2023-06-17 01:00:08.776000
|
https://github.com/JuanFMontesinos/VoViT
| 25 |
Vovit: Low latency graph-based audio-visual voice separation transformer
|
https://scholar.google.com/scholar?cluster=12817647739550983283&hl=en&as_sdt=0,20
| 4 | 2,022 |
MultiMAE: Multi-modal Multi-task Masked Autoencoders
| 63 |
eccv
| 45 | 1 |
2023-06-17 01:00:09.005000
|
https://github.com/EPFL-VILAB/MultiMAE
| 440 |
Multimae: Multi-modal multi-task masked autoencoders
|
https://scholar.google.com/scholar?cluster=7235983779434806126&hl=en&as_sdt=0,33
| 13 | 2,022 |
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
| 26 |
eccv
| 23 | 8 |
2023-06-17 01:00:09.250000
|
https://github.com/jinyeying/night-enhancement
| 216 |
Unsupervised night image enhancement: When layer decomposition meets light-effects suppression
|
https://scholar.google.com/scholar?cluster=11260123721293405393&hl=en&as_sdt=0,5
| 2 | 2,022 |
Relationformer: A Unified Framework for Image-to-Graph Generation
| 12 |
eccv
| 4 | 11 |
2023-06-17 01:00:09.470000
|
https://github.com/suprosanna/relationformer
| 65 |
Relationformer: A Unified Framework for Image-to-Graph Generation
|
https://scholar.google.com/scholar?cluster=16116173940654779023&hl=en&as_sdt=0,5
| 7 | 2,022 |
GAMa: Cross-view Video Geo-localization
| 2 |
eccv
| 2 | 1 |
2023-06-17 01:00:09.687000
|
https://github.com/svyas23/gama
| 12 |
GAMa: Cross-View Video Geo-Localization
|
https://scholar.google.com/scholar?cluster=1999917487159106975&hl=en&as_sdt=0,10
| 2 | 2,022 |
Geometric Representation Learning for Document Image Rectification
| 5 |
eccv
| 0 | 8 |
2023-06-17 01:00:09.904000
|
https://github.com/fh2019ustc/docgeonet
| 38 |
Geometric Representation Learning for Document Image Rectification
|
https://scholar.google.com/scholar?cluster=10444079597645547222&hl=en&as_sdt=0,10
| 5 | 2,022 |
Semantic-Guided Multi-Mask Image Harmonization
| 4 |
eccv
| 1 | 0 |
2023-06-17 01:00:10.118000
|
https://github.com/xuqianren/semantic-guided-multi-mask-image-harmonization
| 10 |
Semantic-Guided Multi-mask Image Harmonization
|
https://scholar.google.com/scholar?cluster=740471268329692668&hl=en&as_sdt=0,19
| 1 | 2,022 |
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
| 32 |
eccv
| 4 | 0 |
2023-06-17 01:00:10.331000
|
https://github.com/chenfengxu714/image2point
| 100 |
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
|
https://scholar.google.com/scholar?cluster=1887117743527395566&hl=en&as_sdt=0,32
| 14 | 2,022 |
FAR: Fourier Aerial Video Recognition
| 4 |
eccv
| 0 | 0 |
2023-06-17 01:00:10.561000
|
https://github.com/divyakraman/ECCV2022_FARFourierAerialVideoRecognition
| 6 |
FAR: Fourier Aerial Video Recognition
|
https://scholar.google.com/scholar?cluster=13274635461645923829&hl=en&as_sdt=0,47
| 1 | 2,022 |
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
| 2 |
eccv
| 50 | 5 |
2023-06-17 01:00:10.783000
|
https://github.com/megviirobot/megba
| 361 |
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
|
https://scholar.google.com/scholar?cluster=1343967457853026081&hl=en&as_sdt=0,26
| 23 | 2,022 |
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information
| 8 |
eccv
| 1 | 1 |
2023-06-17 01:00:11.031000
|
https://github.com/surajkothawade/talisman
| 7 |
Talisman: targeted active learning for object detection with rare classes and slices using submodular mutual information
|
https://scholar.google.com/scholar?cluster=18174068922113194553&hl=en&as_sdt=0,5
| 1 | 2,022 |
An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries
| 1 |
eccv
| 22 | 0 |
2023-06-17 01:00:11.338000
|
https://github.com/WuJunde/checkoutfree
| 149 |
An efficient person clustering algorithm for open checkout-free groceries
|
https://scholar.google.com/scholar?cluster=8248893577780579601&hl=en&as_sdt=0,29
| 15 | 2,022 |
POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion
| 2 |
eccv
| 1 | 0 |
2023-06-17 01:00:11.556000
|
https://github.com/humaticslab/pop-mining-potential-performance
| 5 |
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion
|
https://scholar.google.com/scholar?cluster=10986506715792902692&hl=en&as_sdt=0,5
| 1 | 2,022 |
Pose Forecasting in Industrial Human-Robot Collaboration
| 3 |
eccv
| 5 | 2 |
2023-06-17 01:00:11.800000
|
https://github.com/alessiosam/chico-poseforecasting
| 15 |
Pose Forecasting in Industrial Human-Robot Collaboration
|
https://scholar.google.com/scholar?cluster=5041748353955596330&hl=en&as_sdt=0,33
| 4 | 2,022 |
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
| 2 |
eccv
| 11 | 0 |
2023-06-17 01:00:12.017000
|
https://github.com/ParitoshParmar/Fitness-AQA
| 16 |
Domain Knowledge-Informed Self-supervised Representations for Workout Form Assessment
|
https://scholar.google.com/scholar?cluster=1771967292738028463&hl=en&as_sdt=0,5
| 5 | 2,022 |
Addressing Heterogeneity in Federated Learning via Distributional Transformation
| 2 |
eccv
| 0 | 0 |
2023-06-17 01:00:12.288000
|
https://github.com/hyhmia/distrans
| 4 |
Addressing Heterogeneity in Federated Learning via Distributional Transformation
|
https://scholar.google.com/scholar?cluster=7595000318226544497&hl=en&as_sdt=0,5
| 1 | 2,022 |
Where in the World Is This Image? Transformer-Based Geo-Localization in the Wild
| 4 |
eccv
| 0 | 0 |
2023-06-17 01:00:12.523000
|
https://github.com/shramanpramanick/transformer_based_geo-localization
| 13 |
Where in the World is this Image? Transformer-based Geo-localization in the Wild
|
https://scholar.google.com/scholar?cluster=12815785118431881387&hl=en&as_sdt=0,32
| 2 | 2,022 |
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
| 8 |
eccv
| 7 | 4 |
2023-06-17 01:00:12.757000
|
https://github.com/mingyuyng/visual-selective-vio
| 64 |
Efficient deep visual and inertial odometry with adaptive visual modality selection
|
https://scholar.google.com/scholar?cluster=10071301244979063127&hl=en&as_sdt=0,5
| 3 | 2,022 |
AutoTransition: Learning to Recommend Video Transition Effects
| 2 |
eccv
| 6 | 4 |
2023-06-17 01:00:12.972000
|
https://github.com/acherstyx/autotransition
| 32 |
Autotransition: Learning to recommend video transition effects
|
https://scholar.google.com/scholar?cluster=11848051264458533157&hl=en&as_sdt=0,26
| 1 | 2,022 |
Online Segmentation of LiDAR Sequences: Dataset and Algorithm
| 1 |
eccv
| 6 | 0 |
2023-06-17 01:00:13.184000
|
https://github.com/romainloiseau/Helix4D
| 47 |
Online Segmentation of LiDAR Sequences: Dataset and Algorithm
|
https://scholar.google.com/scholar?cluster=6780570625077556715&hl=en&as_sdt=0,5
| 3 | 2,022 |
Open-World Semantic Segmentation for LIDAR Point Clouds
| 8 |
eccv
| 5 | 1 |
2023-06-17 01:00:13.396000
|
https://github.com/jun-cen/open_world_3d_semantic_segmentation
| 52 |
Open-world semantic segmentation for lidar point clouds
|
https://scholar.google.com/scholar?cluster=1582819942034649369&hl=en&as_sdt=0,15
| 5 | 2,022 |
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
| 11 |
eccv
| 153 | 1 |
2023-06-17 01:00:13.610000
|
https://github.com/autonomousvision/transfuser
| 789 |
King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients
|
https://scholar.google.com/scholar?cluster=10864165260336171731&hl=en&as_sdt=0,14
| 24 | 2,022 |
Differentiable Raycasting for Self-Supervised Occupancy Forecasting
| 8 |
eccv
| 3 | 0 |
2023-06-17 01:00:13.823000
|
https://github.com/tarashakhurana/emergent-occ-forecasting
| 23 |
Differentiable raycasting for self-supervised occupancy forecasting
|
https://scholar.google.com/scholar?cluster=16013699291387108751&hl=en&as_sdt=0,34
| 3 | 2,022 |
CenterFormer: Center-based Transformer for 3D Object Detection
| 28 |
eccv
| 19 | 19 |
2023-06-17 01:00:14.035000
|
https://github.com/tusimple/centerformer
| 240 |
Centerformer: Center-based transformer for 3d object detection
|
https://scholar.google.com/scholar?cluster=12072236336365895354&hl=en&as_sdt=0,22
| 10 | 2,022 |
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning
| 25 |
eccv
| 0 | 0 |
2023-06-17 01:00:14.258000
|
https://github.com/openperceptionx/st-p3
| 0 |
St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning
|
https://scholar.google.com/scholar?cluster=6699869351633854350&hl=en&as_sdt=0,5
| 2 | 2,022 |
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