Kong, Shu

31 publications

ICCV 2025 Attention to the Burstiness in Visual Prompt Tuning! Yuzhu Wang, Manni Duan, Shu Kong

CVPR 2025 Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong

ICCV 2025 Information-Bottleneck Driven Binary Neural Network for Change Detection Kaijie Yin, Zhiyuan Zhang, Shu Kong, Tian Gao, Cheng-Zhong Xu, Hui Kong

CVPR 2025 Solving Instance Detection from an Open-World Perspective Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

WACV 2025 UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang

CVPR 2024 Alpha-CLIP: A CLIP Model Focusing on Wherever You Want Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

CVPR 2024 Boosting Image Restoration via Priors from Pre-Trained Models Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao

ECCV 2024 CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching Samia Shafique, Shu Kong, Charless Fowlkes

ECCV 2024 Improving Knowledge Distillation via Regularizing Feature Direction and Norm Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong

CVPR 2024 Instance Tracking in 3D Scenes from Egocentric Videos Yunhan Zhao, Haoyu Ma, Shu Kong, Charless Fowlkes

ICML 2024 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong

NeurIPS 2024 Revisiting Few-Shot Object Detection with Vision-Language Models Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan

CVPR 2024 The Neglected Tails in Vision-Language Models Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

NeurIPS 2023 A High-Resolution Dataset for Instance Detection with Multi-View Object Capture Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

WACV 2023 Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos Samia Shafique, Bailey Kong, Shu Kong, Charless Fowlkes

WACV 2023 Far3Det: Towards Far-Field 3D Detection Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong

NeurIPSW 2023 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong, Deva Ramanan

NeurIPS 2023 OV-PARTS: Towards Open-Vocabulary Part Segmentation Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang

NeurIPS 2022 Continual Learning with Evolving Class Ontologies Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CVPR 2022 Long-Tailed Recognition via Weight Balancing Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong

ECCV 2022 Multimodal Object Detection via Probabilistic Ensembling Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong

CoRL 2022 Towards Long-Tailed 3D Detection Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong

CVPR 2021 Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias Yunhan Zhao, Shu Kong, Charless Fowlkes

ICCV 2021 OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong, Deva Ramanan

CVPRW 2020 Celeganser: Automated Analysis of Nematode Morphology and Age Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes

WACV 2019 Pixel-Wise Attentional Gating for Scene Parsing Shu Kong, Charless C. Fowlkes

CVPR 2017 Low-Rank Bilinear Pooling for Fine-Grained Classification Shu Kong, Charless Fowlkes

ECCV 2016 Photo Aesthetics Ranking Network with Attributes and Content Adaptation Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes

CVPRW 2016 Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification Shu Kong, Surangi Punyasena, Charless C. Fowlkes

ECML-PKDD 2013 Learning Exemplar-Represented Manifolds in Latent Space for Classification Shu Kong, Donghui Wang

ECCV 2012 A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality Shu Kong, Donghui Wang