← Authors

Antoni B. Chan

47 papers · 2012–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (91) πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (11) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ† Grand Slam πŸš€ Conference Pioneer πŸ’Ž Century Club (47) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (209) ⚑ Prolific Year (7)

Conferences

CVPR (19) ICCV (5) AAAI (4) ECCV (4) NIPS (4) ICLR (3) IJCAI (3) ICML (2) UAI (2) JMLR (1)

Top co-authors

Ziquan Liu (11) Jia Wan (8) Yufei CUI (6) Qi Zhang (6) Wei LIN (5) Qiangqiang Wu (5) Tianyu Yang (4) Chun Jason Xue (4) Xiangyang Ji (3) Tei-Wei Kuo (3)

Keywords

crowd counting (11) variational inference (5) convolutional neural network (5) density map estimation (5) object tracking (4) domain adaptation (4) density map (4) visual object tracking (3) hidden markov model (3) attention mechanism (3) optimal transport (3) expectation maximization (3) vision transformer (2) semi-supervised learning (2) video analysis (2) adversarial learning (2) model compression (2) multiple instance learning (2) active learning (2) image captioning (2)

Papers

Video Individual Counting for Moving Drones ICCV 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking ICCV 2025
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting CVPR 2025
Re-Attentional Controllable Video Diffusion Editing AAAI 2025
Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization ICLR 2025
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging CVPR 2025
DistinctAD: Distinctive Audio Description Generation in Contexts CVPR 2025
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks ICML 2024
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization ECCV 2024
Gradient-based Visual Explanation for Transformer-based CLIP ICML 2024
A Fixed-Point Approach to Unified Prompt-Based Counting AAAI 2024
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting AAAI 2024
DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks CVPR 2023
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection ICLR 2023
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images ICLR 2023
Scalable Video Object Segmentation with Simplified Framework ICCV 2023
Retrieval-Augmented Multiple Instance Learning NIPS 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting CVPR 2023
Crowd Counting in the Frequency Domain CVPR 2022
Asymptotic optimality for active learning processes UAI 2022
Improved Fine-Tuning by Better Leveraging Pre-Training Data NIPS 2022
Calibration-Free Multi-View Crowd Counting ECCV 2022
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021
Cross-View Cross-Scene Multi-View Crowd Counting CVPR 2021
Progressive Unsupervised Learning for Visual Object Tracking CVPR 2021
A Generalized Loss Function for Crowd Counting and Localization CVPR 2021
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning ICCV 2021
A Comparative Survey: Benchmarking for Pool-based Active Learning IJCAI 2021
Hierarchical learning of Hidden Markov Models with clustering regularization UAI 2021
Modeling Noisy Annotations for Crowd Counting NIPS 2020
ROAM: Recurrently Optimizing Tracking Model CVPR 2020
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets ECCV 2020
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels AAAI 2020
Fully Nested Neural Network for Adaptive Compression and Quantization IJCAI 2020
Residual Regression With Semantic Prior for Crowd Counting CVPR 2019
Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs CVPR 2019
Describing Like Humans: On Diversity in Image Captioning CVPR 2019
Learning Dynamic Memory Networks for Object Tracking ECCV 2018
Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes CVPR 2018
Small Instance Detection by Integer Programming on Object Density Maps CVPR 2015
Maximum-Margin Structured Learning With Deep Networks for 3D Human Pose Estimation ICCV 2015
Joint Motion Segmentation and Background Estimation in Dynamic Scenes CVPR 2014
Clustering Hidden Markov Models with Variational HEM JMLR 2014
Crossing the Line: Crowd Counting by Integer Programming with Local Features CVPR 2013
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012