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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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