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PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators
| 1 |
eccv
| 1 | 1 |
2023-06-17 00:58:05.808000
|
https://github.com/huqinghao/palquant
| 10 |
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators
|
https://scholar.google.com/scholar?cluster=17909181500058107497&hl=en&as_sdt=0,44
| 3 | 2,022 |
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors
| 6 |
eccv
| 1 | 3 |
2023-06-17 00:58:06.019000
|
https://github.com/stevetsui/ida-det
| 12 |
Ida-det: An information discrepancy-aware distillation for 1-bit detectors
|
https://scholar.google.com/scholar?cluster=882962750193305921&hl=en&as_sdt=0,33
| 2 | 2,022 |
Learning to Weight Samples for Dynamic Early-Exiting Networks
| 3 |
eccv
| 0 | 0 |
2023-06-17 00:58:06.231000
|
https://github.com/leaplabthu/l2w-den
| 20 |
Learning to Weight Samples for Dynamic Early-Exiting Networks
|
https://scholar.google.com/scholar?cluster=2164454150325810311&hl=en&as_sdt=0,32
| 2 | 2,022 |
Adaptive Token Sampling for Efficient Vision Transformers
| 23 |
eccv
| 9 | 6 |
2023-06-17 00:58:06.442000
|
https://github.com/adaptivetokensampling/ATS
| 58 |
Adaptive token sampling for efficient vision transformers
|
https://scholar.google.com/scholar?cluster=3115530465693214001&hl=en&as_sdt=0,5
| 3 | 2,022 |
Weight Fixing Networks
| 0 |
eccv
| 0 | 0 |
2023-06-17 00:58:06.653000
|
https://github.com/subiawaud/weight_fix_networks
| 2 |
Weight Fixing Networks
|
https://scholar.google.com/scholar?cluster=10314117125960813099&hl=en&as_sdt=0,33
| 1 | 2,022 |
Self-Slimmed Vision Transformer
| 8 |
eccv
| 1 | 0 |
2023-06-17 00:58:06.872000
|
https://github.com/sense-x/sit
| 19 |
Self-slimmed vision transformer
|
https://scholar.google.com/scholar?cluster=11542728323690259520&hl=en&as_sdt=0,3
| 2 | 2,022 |
Switchable Online Knowledge Distillation
| 10 |
eccv
| 2 | 1 |
2023-06-17 00:58:07.084000
|
https://github.com/hfutqian/SwitOKD
| 14 |
Switchable online knowledge distillation
|
https://scholar.google.com/scholar?cluster=6676742329537938355&hl=en&as_sdt=0,5
| 1 | 2,022 |
$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training
| 4 |
eccv
| 0 | 0 |
2023-06-17 00:58:07.297000
|
https://github.com/hmdolatabadi/acs
| 0 |
-Robustness and Beyond: Unleashing Efficient Adversarial Training
|
https://scholar.google.com/scholar?cluster=2283287874012291495&hl=en&as_sdt=0,5
| 1 | 2,022 |
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:58:07.509000
|
https://github.com/sense-gvt/bcdnet
| 9 |
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
|
https://scholar.google.com/scholar?cluster=6373259958026738947&hl=en&as_sdt=0,44
| 0 | 2,022 |
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
| 0 |
eccv
| 4 | 0 |
2023-06-17 00:58:07.722000
|
https://github.com/apple/ml-spin
| 14 |
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
|
https://scholar.google.com/scholar?cluster=2303358432300219665&hl=en&as_sdt=0,33
| 6 | 2,022 |
Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning
| 2 |
eccv
| 1 | 0 |
2023-06-17 00:58:07.933000
|
https://github.com/sseung0703/ekg
| 16 |
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
|
https://scholar.google.com/scholar?cluster=6904839666613856209&hl=en&as_sdt=0,3
| 2 | 2,022 |
Network Binarization via Contrastive Learning
| 6 |
eccv
| 1 | 2 |
2023-06-17 00:58:08.144000
|
https://github.com/42Shawn/CMIM
| 12 |
Network binarization via contrastive learning
|
https://scholar.google.com/scholar?cluster=15735655574376328182&hl=en&as_sdt=0,33
| 2 | 2,022 |
Lipschitz Continuity Retained Binary Neural Network
| 6 |
eccv
| 0 | 2 |
2023-06-17 00:58:08.356000
|
https://github.com/42shawn/lcr_bnn
| 3 |
Lipschitz continuity retained binary neural network
|
https://scholar.google.com/scholar?cluster=6812768384057304051&hl=en&as_sdt=0,5
| 1 | 2,022 |
Soft Masking for Cost-Constrained Channel Pruning
| 3 |
eccv
| 2 | 1 |
2023-06-17 00:58:08.567000
|
https://github.com/nvlabs/smcp
| 11 |
Soft Masking for Cost-Constrained Channel Pruning
|
https://scholar.google.com/scholar?cluster=1083006719522141143&hl=en&as_sdt=0,44
| 5 | 2,022 |
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:58:08.778000
|
https://github.com/rice-eic/supertickets
| 15 |
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
|
https://scholar.google.com/scholar?cluster=4942576613559407919&hl=en&as_sdt=0,5
| 1 | 2,022 |
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
| 6 |
eccv
| 0 | 0 |
2023-06-17 00:58:08.991000
|
https://github.com/yfguo91/Real-Spike
| 6 |
Real spike: Learning real-valued spikes for spiking neural networks
|
https://scholar.google.com/scholar?cluster=14458668834805470627&hl=en&as_sdt=0,5
| 1 | 2,022 |
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
| 16 |
eccv
| 3 | 1 |
2023-06-17 00:58:09.203000
|
https://github.com/intelligent-computing-lab-yale/exploring-lottery-ticket-hypothesis-in-snns
| 23 |
Exploring lottery ticket hypothesis in spiking neural networks
|
https://scholar.google.com/scholar?cluster=5577399624448590854&hl=en&as_sdt=0,5
| 2 | 2,022 |
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
| 2 |
eccv
| 1 | 0 |
2023-06-17 00:58:09.414000
|
https://github.com/yuezuegu/UBoostNAS
| 1 |
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
|
https://scholar.google.com/scholar?cluster=10686166557327753294&hl=en&as_sdt=0,33
| 1 | 2,022 |
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
| 0 |
eccv
| 1 | 0 |
2023-06-17 00:58:09.625000
|
https://github.com/jsjs0369/MEBQAT
| 6 |
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
|
https://scholar.google.com/scholar?cluster=10533577558725096035&hl=en&as_sdt=0,3
| 2 | 2,022 |
Understanding the Dynamics of DNNs Using Graph Modularity
| 2 |
eccv
| 2 | 0 |
2023-06-17 00:58:09.836000
|
https://github.com/yaolu-zjut/dynamic-graphs-construction
| 12 |
Understanding the Dynamics of DNNs Using Graph Modularity
|
https://scholar.google.com/scholar?cluster=3130723855384229824&hl=en&as_sdt=0,5
| 1 | 2,022 |
Latent Discriminant Deterministic Uncertainty
| 1 |
eccv
| 4 | 2 |
2023-06-17 00:58:10.048000
|
https://github.com/ensta-u2is/ldu
| 31 |
Latent Discriminant deterministic Uncertainty
|
https://scholar.google.com/scholar?cluster=6019200911967615757&hl=en&as_sdt=0,5
| 3 | 2,022 |
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
| 7 |
eccv
| 2 | 3 |
2023-06-17 00:58:10.262000
|
https://github.com/facebookresearch/visual-counterfactuals
| 26 |
Making heads or tails: Towards semantically consistent visual counterfactuals
|
https://scholar.google.com/scholar?cluster=15358241880988095277&hl=en&as_sdt=0,31
| 4 | 2,022 |
HIVE: Evaluating the Human Interpretability of Visual Explanations
| 29 |
eccv
| 3 | 0 |
2023-06-17 00:58:10.474000
|
https://github.com/princetonvisualai/HIVE
| 16 |
Hive: evaluating the human interpretability of visual explanations
|
https://scholar.google.com/scholar?cluster=6994210076422193826&hl=en&as_sdt=0,5
| 6 | 2,022 |
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
| 5 |
eccv
| 3 | 0 |
2023-06-17 00:58:10.686000
|
https://github.com/explainableml/bayescap
| 34 |
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
|
https://scholar.google.com/scholar?cluster=17308434351985142486&hl=en&as_sdt=0,33
| 5 | 2,022 |
SESS: Saliency Enhancing with Scaling and Sliding
| 1 |
eccv
| 1 | 0 |
2023-06-17 00:58:10.905000
|
https://github.com/neouyghur/sess
| 6 |
SESS: Saliency Enhancing with Scaling and Sliding
|
https://scholar.google.com/scholar?cluster=8995973640476037455&hl=en&as_sdt=0,39
| 2 | 2,022 |
No Token Left Behind: Explainability-Aided Image Classification and Generation
| 8 |
eccv
| 14 | 1 |
2023-06-17 00:58:11.145000
|
https://github.com/apple/ml-no-token-left-behind
| 129 |
No token left behind: Explainability-aided image classification and generation
|
https://scholar.google.com/scholar?cluster=1190928948401289652&hl=en&as_sdt=0,11
| 10 | 2,022 |
Interpretable Image Classification with Differentiable Prototypes Assignment
| 19 |
eccv
| 4 | 0 |
2023-06-17 00:58:11.356000
|
https://github.com/gmum/protopool
| 15 |
Interpretable image classification with differentiable prototypes assignment
|
https://scholar.google.com/scholar?cluster=16296167149932352355&hl=en&as_sdt=0,5
| 3 | 2,022 |
STEEX: Steering Counterfactual Explanations with Semantics
| 11 |
eccv
| 0 | 0 |
2023-06-17 00:58:11.568000
|
https://github.com/valeoai/steex
| 11 |
STEEX: steering counterfactual explanations with semantics
|
https://scholar.google.com/scholar?cluster=6442354038352446376&hl=en&as_sdt=0,3
| 4 | 2,022 |
Cartoon Explanations of Image Classifiers
| 3 |
eccv
| 2 | 0 |
2023-06-17 00:58:11.779000
|
https://github.com/skmda37/CartoonX
| 5 |
Cartoon explanations of image classifiers
|
https://scholar.google.com/scholar?cluster=6270070436316559917&hl=en&as_sdt=0,5
| 1 | 2,022 |
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
| 4 |
eccv
| 209 | 70 |
2023-06-17 00:58:11.990000
|
https://github.com/Tencent/TFace
| 1,049 |
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
|
https://scholar.google.com/scholar?cluster=6954778808116738247&hl=en&as_sdt=0,5
| 33 | 2,022 |
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast
| 11 |
eccv
| 6 | 0 |
2023-06-17 00:58:12.203000
|
https://github.com/zhaodongsun/contrast-phys
| 26 |
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast
|
https://scholar.google.com/scholar?cluster=5679325064727443124&hl=en&as_sdt=0,5
| 2 | 2,022 |
On Mitigating Hard Clusters for Face Clustering
| 2 |
eccv
| 4 | 1 |
2023-06-17 00:58:12.415000
|
https://github.com/echoanran/on-mitigating-hard-clusters
| 15 |
On Mitigating Hard Clusters for Face Clustering
|
https://scholar.google.com/scholar?cluster=16130959965255916450&hl=en&as_sdt=0,10
| 2 | 2,022 |
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
| 8 |
eccv
| 0 | 0 |
2023-06-17 00:58:12.627000
|
https://github.com/li-wanhua/label2label
| 16 |
Label2Label: A Language Modeling Framework for Multi-attribute Learning
|
https://scholar.google.com/scholar?cluster=15011553915030503496&hl=en&as_sdt=0,33
| 3 | 2,022 |
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition
| 4 |
eccv
| 5 | 0 |
2023-06-17 00:58:12.839000
|
https://github.com/gist-ailab/teaching-where-to-look
| 40 |
Teaching where to look: Attention similarity knowledge distillation for low resolution face recognition
|
https://scholar.google.com/scholar?cluster=14856315627697119992&hl=en&as_sdt=0,5
| 3 | 2,022 |
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
| 20 |
eccv
| 30 | 11 |
2023-06-17 00:58:13.051000
|
https://github.com/sstzal/DFRF
| 243 |
Learning dynamic facial radiance fields for few-shot talking head synthesis
|
https://scholar.google.com/scholar?cluster=16013123018380434224&hl=en&as_sdt=0,29
| 8 | 2,022 |
BoundaryFace: A Mining Framework with Noise Label Self-Correction for Face Recognition
| 1 |
eccv
| 1 | 0 |
2023-06-17 00:58:13.263000
|
https://github.com/swjtu-3dvision/boundaryface
| 16 |
BoundaryFace: A mining framework with noise label self-correction for Face Recognition
|
https://scholar.google.com/scholar?cluster=18205410364397077887&hl=en&as_sdt=0,19
| 1 | 2,022 |
Pre-training Strategies and Datasets for Facial Representation Learning
| 12 |
eccv
| 4 | 1 |
2023-06-17 00:58:13.474000
|
https://github.com/1adrianb/unsupervised-face-representation
| 46 |
Pre-training strategies and datasets for facial representation learning
|
https://scholar.google.com/scholar?cluster=9885962198092429891&hl=en&as_sdt=0,5
| 3 | 2,022 |
Multi-Domain Learning for Updating Face Anti-Spoofing Models
| 6 |
eccv
| 6 | 1 |
2023-06-17 00:58:13.686000
|
https://github.com/chelsea234/multi-domain-learning-fas
| 51 |
Multi-domain Learning for Updating Face Anti-spoofing Models
|
https://scholar.google.com/scholar?cluster=16126198199107928191&hl=en&as_sdt=0,23
| 5 | 2,022 |
Towards Metrical Reconstruction of Human Faces
| 23 |
eccv
| 62 | 0 |
2023-06-17 00:58:13.897000
|
https://github.com/Zielon/MICA
| 384 |
Towards metrical reconstruction of human faces
|
https://scholar.google.com/scholar?cluster=1790459247122342291&hl=en&as_sdt=0,5
| 7 | 2,022 |
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
| 9 |
eccv
| 1 | 0 |
2023-06-17 00:58:14.110000
|
https://github.com/zhihengli-UR/DebiAN
| 15 |
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
|
https://scholar.google.com/scholar?cluster=7100367911218047042&hl=en&as_sdt=0,33
| 2 | 2,022 |
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification
| 9 |
eccv
| 1 | 2 |
2023-06-17 00:58:14.321000
|
https://github.com/bernardo1998/fairgrape
| 8 |
Fairgrape: Fairness-aware gradient pruning method for face attribute classification
|
https://scholar.google.com/scholar?cluster=7797375356062990840&hl=en&as_sdt=0,43
| 2 | 2,022 |
Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks
| 0 |
eccv
| 0 | 0 |
2023-06-17 00:58:14.533000
|
https://github.com/zzzucf/anti-neuron-watermarking
| 5 |
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks
|
https://scholar.google.com/scholar?cluster=12791067012811994575&hl=en&as_sdt=0,5
| 1 | 2,022 |
Privacy-Preserving Action Recognition via Motion Difference Quantization
| 2 |
eccv
| 0 | 1 |
2023-06-17 00:58:14.745000
|
https://github.com/suakaw/bdq_privacyar
| 6 |
Privacy-Preserving Action Recognition via Motion Difference Quantization
|
https://scholar.google.com/scholar?cluster=10482295319181284449&hl=en&as_sdt=0,33
| 1 | 2,022 |
Latent Space Smoothing for Individually Fair Representations
| 4 |
eccv
| 1 | 0 |
2023-06-17 00:58:14.958000
|
https://github.com/eth-sri/lassi
| 14 |
Latent space smoothing for individually fair representations
|
https://scholar.google.com/scholar?cluster=12962197532517960978&hl=en&as_sdt=0,5
| 6 | 2,022 |
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
| 9 |
eccv
| 2 | 0 |
2023-06-17 00:58:15.169000
|
https://github.com/tochris/pts-uncertainty
| 5 |
Parameterized temperature scaling for boosting the expressive power in post-hoc uncertainty calibration
|
https://scholar.google.com/scholar?cluster=1166261285215480874&hl=en&as_sdt=0,11
| 2 | 2,022 |
Distilling the Undistillable: Learning from a Nasty Teacher
| 2 |
eccv
| 0 | 1 |
2023-06-17 00:58:15.380000
|
https://github.com/surgan12/nastyattacks
| 2 |
Distilling the Undistillable: Learning from a Nasty Teacher
|
https://scholar.google.com/scholar?cluster=7326991163599849424&hl=en&as_sdt=0,33
| 1 | 2,022 |
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
| 4 |
eccv
| 0 | 0 |
2023-06-17 00:58:15.592000
|
https://github.com/vjwq/egogan
| 3 |
Generative adversarial network for future hand segmentation from egocentric video
|
https://scholar.google.com/scholar?cluster=5484506024890510907&hl=en&as_sdt=0,22
| 1 | 2,022 |
My View Is the Best View: Procedure Learning from Egocentric Videos
| 5 |
eccv
| 3 | 0 |
2023-06-17 00:58:15.804000
|
https://github.com/Sid2697/EgoProceL-egocentric-procedure-learning
| 13 |
My View is the Best View: Procedure Learning from Egocentric Videos
|
https://scholar.google.com/scholar?cluster=767508232995055975&hl=en&as_sdt=0,5
| 1 | 2,022 |
GIMO: Gaze-Informed Human Motion Prediction in Context
| 7 |
eccv
| 3 | 2 |
2023-06-17 00:58:16.016000
|
https://github.com/y-zheng18/gimo
| 60 |
Gimo: Gaze-informed human motion prediction in context
|
https://scholar.google.com/scholar?cluster=9657711883563892404&hl=en&as_sdt=0,5
| 3 | 2,022 |
Image-Based CLIP-Guided Essence Transfer
| 19 |
eccv
| 23 | 0 |
2023-06-17 00:58:16.229000
|
https://github.com/hila-chefer/targetclip
| 223 |
Image-based clip-guided essence transfer
|
https://scholar.google.com/scholar?cluster=16130037992547430187&hl=en&as_sdt=0,33
| 6 | 2,022 |
Detecting and Recovering Sequential DeepFake Manipulation
| 3 |
eccv
| 8 | 1 |
2023-06-17 00:58:16.441000
|
https://github.com/rshaojimmy/seqdeepfake
| 94 |
Detecting and Recovering Sequential DeepFake Manipulation
|
https://scholar.google.com/scholar?cluster=16758922200281642852&hl=en&as_sdt=0,14
| 3 | 2,022 |
Self-Supervised Sparse Representation for Video Anomaly Detection
| 9 |
eccv
| 7 | 6 |
2023-06-17 00:58:16.653000
|
https://github.com/louisYen/S3R
| 48 |
Self-supervised Sparse Representation for Video Anomaly Detection
|
https://scholar.google.com/scholar?cluster=14297444957182321222&hl=en&as_sdt=0,5
| 1 | 2,022 |
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
| 4 |
eccv
| 3 | 1 |
2023-06-17 00:58:16.877000
|
https://github.com/thinwayliu/watermark-vaccine
| 22 |
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
|
https://scholar.google.com/scholar?cluster=12688290022858968350&hl=en&as_sdt=0,5
| 1 | 2,022 |
Explaining Deepfake Detection by Analysing Image Matching
| 4 |
eccv
| 1 | 0 |
2023-06-17 00:58:17.089000
|
https://github.com/megvii-research/fst-matching
| 29 |
Explaining Deepfake Detection by Analysing Image Matching
|
https://scholar.google.com/scholar?cluster=11184135980737383589&hl=en&as_sdt=0,5
| 1 | 2,022 |
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations
| 1 |
eccv
| 2 | 2 |
2023-06-17 00:58:17.301000
|
https://github.com/shivangi-aneja/TAFIM
| 35 |
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations
|
https://scholar.google.com/scholar?cluster=10194430295026324436&hl=en&as_sdt=0,33
| 1 | 2,022 |
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
| 5 |
eccv
| 0 | 1 |
2023-06-17 00:58:17.512000
|
https://github.com/tubui/image_attribution
| 10 |
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
|
https://scholar.google.com/scholar?cluster=2567453246429238454&hl=en&as_sdt=0,5
| 1 | 2,022 |
PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification
| 5 |
eccv
| 7 | 1 |
2023-06-17 00:58:17.724000
|
https://github.com/casia-iva-lab/pass-reid
| 34 |
PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification
|
https://scholar.google.com/scholar?cluster=4334912752369724562&hl=en&as_sdt=0,16
| 0 | 2,022 |
Multi-Query Video Retrieval
| 13 |
eccv
| 2 | 0 |
2023-06-17 00:58:17.941000
|
https://github.com/princetonvisualai/mqvr
| 20 |
Multi-query video retrieval
|
https://scholar.google.com/scholar?cluster=373211919575033452&hl=en&as_sdt=0,44
| 5 | 2,022 |
Hierarchical Average Precision Training for Pertinent Image Retrieval
| 1 |
eccv
| 4 | 1 |
2023-06-17 00:58:18.154000
|
https://github.com/elias-ramzi/happier
| 12 |
Hierarchical Average Precision Training for Pertinent Image Retrieval
|
https://scholar.google.com/scholar?cluster=7992751292325736220&hl=en&as_sdt=0,5
| 2 | 2,022 |
Domain Adaptive Person Search
| 5 |
eccv
| 4 | 1 |
2023-06-17 00:58:18.366000
|
https://github.com/caposerenity/daps
| 16 |
Domain Adaptive Person Search
|
https://scholar.google.com/scholar?cluster=17332711656821734010&hl=en&as_sdt=0,39
| 1 | 2,022 |
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
| 19 |
eccv
| 9 | 1 |
2023-06-17 00:58:18.578000
|
https://github.com/yuqi657/ts2_net
| 51 |
Ts2-net: Token shift and selection transformer for text-video retrieval
|
https://scholar.google.com/scholar?cluster=1773769104865253023&hl=en&as_sdt=0,44
| 1 | 2,022 |
Deep Hash Distillation for Image Retrieval
| 3 |
eccv
| 5 | 2 |
2023-06-17 00:58:18.790000
|
https://github.com/youngkyunjang/deep-hash-distillation
| 29 |
Deep hash distillation for image retrieval
|
https://scholar.google.com/scholar?cluster=10264655525717856077&hl=en&as_sdt=0,33
| 2 | 2,022 |
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification
| 2 |
eccv
| 2 | 2 |
2023-06-17 00:58:19.002000
|
https://github.com/xbq1994/meta
| 10 |
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification
|
https://scholar.google.com/scholar?cluster=8699042944012178592&hl=en&as_sdt=0,5
| 2 | 2,022 |
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-Supervised Learning
| 2 |
eccv
| 4 | 1 |
2023-06-17 00:58:19.214000
|
https://github.com/cihsaing/rvsl-robust-vehicle-similarity-learning--eccv22
| 5 |
RVSL: Robust vehicle similarity learning in real hazy scenes based on semi-supervised learning
|
https://scholar.google.com/scholar?cluster=9327217053746589343&hl=en&as_sdt=0,5
| 2 | 2,022 |
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
| 6 |
eccv
| 4 | 4 |
2023-06-17 00:58:19.426000
|
https://github.com/ruc-aimc-lab/laff
| 29 |
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
|
https://scholar.google.com/scholar?cluster=17518735408108999983&hl=en&as_sdt=0,28
| 1 | 2,022 |
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:58:19.637000
|
https://github.com/njust-vipgroup/semicon
| 2 |
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval
|
https://scholar.google.com/scholar?cluster=14218568535389828777&hl=en&as_sdt=0,5
| 0 | 2,022 |
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval
| 1 |
eccv
| 2 | 0 |
2023-06-17 00:58:19.849000
|
https://github.com/dcp15/ual
| 4 |
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval
|
https://scholar.google.com/scholar?cluster=10252197058843416825&hl=en&as_sdt=0,36
| 1 | 2,022 |
Relighting4D: Neural Relightable Human from Videos
| 10 |
eccv
| 17 | 1 |
2023-06-17 00:58:20.061000
|
https://github.com/frozenburning/relighting4d
| 213 |
Relighting4d: Neural relightable human from videos
|
https://scholar.google.com/scholar?cluster=17763469044720641433&hl=en&as_sdt=0,31
| 5 | 2,022 |
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation
| 2 |
eccv
| 0 | 0 |
2023-06-17 00:58:20.273000
|
https://github.com/blinghe/pixelfolder
| 24 |
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation
|
https://scholar.google.com/scholar?cluster=3679647493154580604&hl=en&as_sdt=0,5
| 7 | 2,022 |
Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing
| 3 |
eccv
| 12 | 2 |
2023-06-17 00:58:20.485000
|
https://github.com/1jsingh/paint2pix
| 113 |
Paint2pix: interactive painting based progressive image synthesis and editing
|
https://scholar.google.com/scholar?cluster=8249158505976311908&hl=en&as_sdt=0,5
| 4 | 2,022 |
SCAM! Transferring Humans between Images with Semantic Cross Attention Modulation
| 3 |
eccv
| 1 | 0 |
2023-06-17 00:58:20.696000
|
https://github.com/nicolas-dufour/SCAM
| 46 |
Scam! transferring humans between images with semantic cross attention modulation
|
https://scholar.google.com/scholar?cluster=15976532542691220666&hl=en&as_sdt=0,5
| 1 | 2,022 |
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
| 6 |
eccv
| 7 | 1 |
2023-06-17 00:58:20.908000
|
https://github.com/donydchen/sem2nerf
| 109 |
NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields
|
https://scholar.google.com/scholar?cluster=13488182421709807143&hl=en&as_sdt=0,6
| 6 | 2,022 |
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation
| 8 |
eccv
| 5 | 1 |
2023-06-17 00:58:21.120000
|
https://github.com/kobeshegu/eccv2022_wavegan
| 59 |
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation
|
https://scholar.google.com/scholar?cluster=3247766894580497169&hl=en&as_sdt=0,5
| 2 | 2,022 |
High-Fidelity GAN Inversion with Padding Space
| 10 |
eccv
| 5 | 5 |
2023-06-17 00:58:21.331000
|
https://github.com/ezioby/padinv
| 83 |
High-fidelity GAN inversion with padding space
|
https://scholar.google.com/scholar?cluster=9284823848742686294&hl=en&as_sdt=0,10
| 12 | 2,022 |
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
| 1 |
eccv
| 0 | 1 |
2023-06-17 00:58:21.543000
|
https://github.com/megvii-research/Sobolev_INRs
| 26 |
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
|
https://scholar.google.com/scholar?cluster=14044677930376914412&hl=en&as_sdt=0,39
| 3 | 2,022 |
Multi-Curve Translator for High-Resolution Photorealistic Image Translation
| 1 |
eccv
| 4 | 0 |
2023-06-17 00:58:21.755000
|
https://github.com/IDKiro/MCT
| 34 |
Multi-Curve Translator for High-Resolution Photorealistic Image Translation
|
https://scholar.google.com/scholar?cluster=11749069983283105543&hl=en&as_sdt=0,5
| 1 | 2,022 |
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
| 11 |
eccv
| 6 | 10 |
2023-06-17 00:58:21.967000
|
https://github.com/xyzhouo/casd
| 42 |
Cross attention based style distribution for controllable person image synthesis
|
https://scholar.google.com/scholar?cluster=9209475525743779712&hl=en&as_sdt=0,5
| 1 | 2,022 |
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints
| 18 |
eccv
| 25 | 5 |
2023-06-17 00:58:22.179000
|
https://github.com/facebookresearch/KeypointNeRF
| 337 |
KeypointNeRF: Generalizing image-based volumetric avatars using relative spatial encoding of keypoints
|
https://scholar.google.com/scholar?cluster=16360848272016912327&hl=en&as_sdt=0,10
| 15 | 2,022 |
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers
| 17 |
eccv
| 14 | 1 |
2023-06-17 00:58:22.392000
|
https://github.com/jkulhanek/viewformer
| 200 |
Viewformer: Nerf-free neural rendering from few images using transformers
|
https://scholar.google.com/scholar?cluster=5512594723523474841&hl=en&as_sdt=0,10
| 8 | 2,022 |
A Perceptual Quality Metric for Video Frame Interpolation
| 2 |
eccv
| 6 | 2 |
2023-06-17 00:58:22.606000
|
https://github.com/hqqxyy/vfips
| 30 |
A Perceptual Quality Metric for Video Frame Interpolation
|
https://scholar.google.com/scholar?cluster=9562660708549758689&hl=en&as_sdt=0,11
| 2 | 2,022 |
Adaptive Feature Interpolation for Low-Shot Image Generation
| 0 |
eccv
| 0 | 0 |
2023-06-17 00:58:22.818000
|
https://github.com/dzld00/adaptive-feature-interpolation-for-low-shot-image-generation
| 8 |
Adaptive Feature Interpolation for Low-Shot Image Generation
|
https://scholar.google.com/scholar?cluster=14989987349060110294&hl=en&as_sdt=0,33
| 2 | 2,022 |
PalGAN: Image Colorization with Palette Generative Adversarial Networks
| 6 |
eccv
| 0 | 3 |
2023-06-17 00:58:23.030000
|
https://github.com/shepnerd/palgan
| 17 |
PalGAN: Image Colorization with Palette Generative Adversarial Networks
|
https://scholar.google.com/scholar?cluster=3705048691352373757&hl=en&as_sdt=0,31
| 7 | 2,022 |
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
| 1 |
eccv
| 8 | 5 |
2023-06-17 00:58:23.242000
|
https://github.com/fast-vid2vid/fast-vid2vid
| 128 |
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
|
https://scholar.google.com/scholar?cluster=4910164335098976518&hl=en&as_sdt=0,5
| 9 | 2,022 |
Learning Prior Feature and Attention Enhanced Image Inpainting
| 3 |
eccv
| 3 | 2 |
2023-06-17 00:58:23.454000
|
https://github.com/ewrfcas/MAE-FAR
| 46 |
Learning Prior Feature and Attention Enhanced Image Inpainting
|
https://scholar.google.com/scholar?cluster=729023225466281333&hl=en&as_sdt=0,5
| 7 | 2,022 |
3D-Aware Semantic-Guided Generative Model for Human Synthesis
| 15 |
eccv
| 3 | 2 |
2023-06-17 00:58:23.665000
|
https://github.com/zhangqianhui/3DSGAN
| 32 |
3D-aware semantic-guided generative model for human synthesis
|
https://scholar.google.com/scholar?cluster=6032578839810883949&hl=en&as_sdt=0,5
| 5 | 2,022 |
Single Stage Virtual Try-On via Deformable Attention Flows
| 7 |
eccv
| 9 | 10 |
2023-06-17 00:58:23.877000
|
https://github.com/OFA-Sys/DAFlow
| 88 |
Single stage virtual try-on via deformable attention flows
|
https://scholar.google.com/scholar?cluster=816514931038255814&hl=en&as_sdt=0,3
| 8 | 2,022 |
Improving GANs for Long-Tailed Data through Group Spectral Regularization
| 3 |
eccv
| 2 | 0 |
2023-06-17 00:58:24.089000
|
https://github.com/val-iisc/gSRGAN
| 10 |
Improving GANs for Long-Tailed Data Through Group Spectral Regularization
|
https://scholar.google.com/scholar?cluster=11468125095125646934&hl=en&as_sdt=0,33
| 12 | 2,022 |
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
| 6 |
eccv
| 5 | 0 |
2023-06-17 00:58:24.301000
|
https://github.com/wanggcong/stylelight
| 87 |
Stylelight: Hdr panorama generation for lighting estimation and editing
|
https://scholar.google.com/scholar?cluster=5315266200307857634&hl=en&as_sdt=0,6
| 5 | 2,022 |
Contrastive Monotonic Pixel-Level Modulation
| 1 |
eccv
| 0 | 0 |
2023-06-17 00:58:24.513000
|
https://github.com/lukun199/monopix
| 5 |
Contrastive Monotonic Pixel-Level Modulation
|
https://scholar.google.com/scholar?cluster=16187508770717297342&hl=en&as_sdt=0,5
| 1 | 2,022 |
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
| 6 |
eccv
| 2 | 3 |
2023-06-17 00:58:24.726000
|
https://github.com/wustl-cig/CURE
| 10 |
Learning cross-video neural representations for high-quality frame interpolation
|
https://scholar.google.com/scholar?cluster=5727407335413052300&hl=en&as_sdt=0,5
| 3 | 2,022 |
Learning Continuous Implicit Representation for Near-Periodic Patterns
| 2 |
eccv
| 4 | 0 |
2023-06-17 00:58:24.937000
|
https://github.com/ArmastusChen/Learning-Continuous-Implicit-Representation-for-Near-Periodic-Patterns
| 10 |
Learning Continuous Implicit Representation for Near-Periodic Patterns
|
https://scholar.google.com/scholar?cluster=10786354692089181603&hl=en&as_sdt=0,22
| 3 | 2,022 |
Few-Shot Image Generation with Mixup-Based Distance Learning
| 4 |
eccv
| 0 | 0 |
2023-06-17 00:58:25.160000
|
https://github.com/reyllama/mixdl
| 19 |
Few-Shot Image Generation with Mixup-Based Distance Learning
|
https://scholar.google.com/scholar?cluster=11751748346680647468&hl=en&as_sdt=0,5
| 1 | 2,022 |
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
| 4 |
eccv
| 1 | 0 |
2023-06-17 00:58:25.372000
|
https://github.com/iceli1007/fakeclr
| 18 |
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
|
https://scholar.google.com/scholar?cluster=10522416907231616901&hl=en&as_sdt=0,5
| 0 | 2,022 |
Discovering Transferable Forensic Features for CNN-Generated Images Detection
| 6 |
eccv
| 1 | 0 |
2023-06-17 00:58:25.584000
|
https://github.com/sutd-visual-computing-group/transferable-forensic-features
| 11 |
Discovering Transferable Forensic Features for CNN-generated Images Detection
|
https://scholar.google.com/scholar?cluster=16076391671121690755&hl=en&as_sdt=0,5
| 2 | 2,022 |
Harmonizer: Learning to Perform White-Box Image and Video Harmonization
| 11 |
eccv
| 18 | 6 |
2023-06-17 00:58:25.796000
|
https://github.com/zhkkke/harmonizer
| 183 |
Harmonizer: Learning to perform white-box image and video harmonization
|
https://scholar.google.com/scholar?cluster=17664521763664985478&hl=en&as_sdt=0,33
| 11 | 2,022 |
Text2LIVE: Text-Driven Layered Image and Video Editing
| 74 |
eccv
| 65 | 18 |
2023-06-17 00:58:26.007000
|
https://github.com/omerbt/Text2LIVE
| 714 |
Text2live: Text-driven layered image and video editing
|
https://scholar.google.com/scholar?cluster=1643881200367737557&hl=en&as_sdt=0,47
| 26 | 2,022 |
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
| 36 |
eccv
| 102 | 21 |
2023-06-17 00:58:26.219000
|
https://github.com/stylegan-human/stylegan-human
| 864 |
Stylegan-human: A data-centric odyssey of human generation
|
https://scholar.google.com/scholar?cluster=17333199167012013343&hl=en&as_sdt=0,5
| 36 | 2,022 |
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs
| 3 |
eccv
| 2 | 1 |
2023-06-17 00:58:26.431000
|
https://github.com/marsggbo/EAGAN
| 6 |
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs
|
https://scholar.google.com/scholar?cluster=7789077417365616404&hl=en&as_sdt=0,33
| 1 | 2,022 |
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
| 14 |
eccv
| 1 | 5 |
2023-06-17 00:58:26.642000
|
https://github.com/huage001/dynast
| 42 |
Dynast: Dynamic sparse transformer for exemplar-guided image generation
|
https://scholar.google.com/scholar?cluster=10456276537203160314&hl=en&as_sdt=0,33
| 1 | 2,022 |
JoJoGAN: One Shot Face Stylization
| 27 |
eccv
| 200 | 18 |
2023-06-17 00:58:26.854000
|
https://github.com/mchong6/JoJoGAN
| 1,335 |
Jojogan: One shot face stylization
|
https://scholar.google.com/scholar?cluster=3819299370711114953&hl=en&as_sdt=0,39
| 25 | 2,022 |
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