A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality. - Shu Kong; Donghui Wang (ECCV (1), 2012)

A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality. - Shu Kong; Donghui Wang (ICPR, 2012)

Transfer heterogeneous unlabeled data for unsupervised clustering. - Shu Kong; Donghui Wang (ICPR, 2012)

Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy - Shu Kong; Donghui Wang (CoRR, 2012)

A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example - Shu Kong; Donghui Wang (CoRR, 2012)

Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method - Shu Kong; Donghui Wang (CoRR, 2012)

Feature selection from high-order tensorial data via sparse decomposition. - Donghui Wang; Shu Kong (Pattern Recognit. Lett., 2012)

Learning individual-specific dictionaries with fused multiple features for face recognition. - Shu Kong; Donghui Wang (FG, 2013)

Multiple feature fusion for face recognition. - Shu Kong; Xikui Wang; Donghui Wang; Fei Wu 001 (FG, 2013)

Learning Exemplar-Represented Manifolds in Latent Space for Classification. - Shu Kong; Donghui Wang (ECML/PKDD (3), 2013)

Integration of multi-feature fusion and dictionary learning for face recognition. - Donghui Wang; Xikui Wang; Shu Kong (Image Vis. Comput., 2013)

Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball. - Donghui Wang; Shu Kong (Mach. Vis. Appl., 2013)

Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification. - Shu Kong; Zhuolin Jiang; Qiang Yang 001 (CoRR, 2014)

Collaborative Receptive Field Learning. - Shu Kong; Zhuolin Jiang; Qiang Yang 001 (CoRR, 2014)

A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories. - Donghui Wang; Shu Kong (Pattern Recognit., 2014)

Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. - Shu Kong; Zhuolin Jiang; Qiang Yang 001 (IEEE Trans. Image Process., 2015)

Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. - Shu Kong; Surangi Punyasena; Charless C. Fowlkes (CVPR Workshops, 2016)

Photo Aesthetics Ranking Network with Attributes and Content Adaptation. - Shu Kong; Xiaohui Shen; Zhe Lin 001; Radomír Mech; Charless C. Fowlkes (ECCV (1), 2016)

Low-Rank Bilinear Pooling for Fine-Grained Classification. - Shu Kong; Charless C. Fowlkes (CVPR, 2017)

Recurrent Scene Parsing With Perspective Understanding in the Loop. - Shu Kong; Charless C. Fowlkes (CVPR, 2018)

Recurrent Pixel Embedding for Instance Grouping. - Shu Kong; Charless C. Fowlkes (CVPR, 2018)

Weakly Supervised Attention Learning for Textual Phrases Grounding. - Zhiyuan Fang; Shu Kong; Tianshu Yu 001; Yezhou Yang (CoRR, 2018)

Pixel-wise Attentional Gating for Parsimonious Pixel Labeling. - Shu Kong; Charless C. Fowlkes (CoRR, 2018)

Image Reconstruction with Predictive Filter Flow. - Shu Kong; Charless C. Fowlkes (CoRR, 2018)

Modularized Textual Grounding for Counterfactual Resilience. - Zhiyuan Fang; Shu Kong; Charless C. Fowlkes; Yezhou Yang (CVPR, 2019)

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

Multigrid Predictive Filter Flow for Unsupervised Learning on Videos. - Shu Kong; Charless C. Fowlkes (CoRR, 2019)

Pixel-Level Prediction: Models and Applications. - Shu Kong (2019)

Celeganser: Automated Analysis of Nematode Morphology and Age. - Linfeng Wang; Shu Kong; Zachary Pincus; Charless C. Fowlkes (CVPR Workshops, 2020)

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. - Yunhan Zhao; Shu Kong; Daeyun Shin; Charless C. Fowlkes (CVPR, 2020)

Weak Supervision and Referring Attention for Temporal-Textual Association Learning. - Zhiyuan Fang; Shu Kong; Zhe Wang 013; Charless C. Fowlkes; Yezhou Yang (CoRR, 2020)

When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. - Yunhan Zhao; Shu Kong; Charless C. Fowlkes (CoRR, 2020)

Fine-grained facial expression analysis using dimensional emotion model. - Feng Zhou 003; Shu Kong; Charless C. Fowlkes; Tao Chen 003; Baiying Lei (Neurocomputing, 2020)

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. - Yunhan Zhao; Shu Kong; Charless C. Fowlkes (CVPR, 2021)

Multimodal Object Detection via Bayesian Fusion. - Yi-Ting Chen; Jinghao Shi; Christoph Mertz; Shu Kong; Deva Ramanan (CoRR, 2021)

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

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

Multimodal Object Detection via Probabilistic Ensembling. - Yi-Ting Chen; Jinghao Shi; Zelin Ye; Christoph Mertz; Deva Ramanan; Shu Kong (ECCV (9), 2022)

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

ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. - Samia Shafique; Bailey Kong; Shu Kong; Charless C. Fowlkes (CoRR, 2022)

Learning with an Evolving Class Ontology. - Zhiqiu Lin; Deepak Pathak; Yu-Xiong Wang; Deva Ramanan; Shu Kong (CoRR, 2022)

Prompting Scientific Names for Zero-Shot Species Recognition. - Shubham Parashar; Zhiqiu Lin; Yanan Li; Shu Kong (EMNLP, 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 (NeurIPS, 2023)

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

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

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

Improving Knowledge Distillation via Regularizing Feature Norm and Direction. - Yuzhu Wang; Lechao Cheng; Manni Duan; Yongheng Wang; Zunlei Feng; Shu Kong (CoRR, 2023)

A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture. - Qianqian Shen; Yunhan Zhao; Nahyun Kwon; Jeeeun Kim; Yanan Li; Shu Kong (CoRR, 2023)

Long-Tailed 3D Detection via 2D Late Fusion. - Yechi Ma; Neehar Peri; Shuoquan Wei; Wei Hua; Deva Ramanan; Yanan Li; Shu Kong (CoRR, 2023)

Label-Free Detection of CA19-9 Using a BSA/Graphene-Based Antifouling Electrochemical Immunosensor. - Wei Chen; Miaomiao Chi; Miaomiao Wang; Yage Liu; Shu Kong; Liping Du; Jian Wang; Chunsheng Wu (Sensors, 2023)

AccessLens: Auto-detecting Inaccessibility of Everyday Objects. - Nahyun Kwon; Qian Lu; Muhammad Hasham Qazi; Joanne Liu; Changhoon Oh; Shu Kong; Jeeeun Kim (CHI, 2024)

Alpha-CLIP: A CLIP Model Focusing on Wherever you Want. - Zeyi Sun 002; Ye Fang; Tong Wu; Pan Zhang 001; Yuhang Zang; Shu Kong; Yuanjun Xiong; Dahua Lin; Jiaqi Wang 003 (CVPR, 2024)

The Neglected Tails in Vision-Language Models. - Shubham Parashar; Zhiqiu Lin; Tian Liu 006; Xiangjue Dong; Yanan Li; Deva Ramanan; James Caverlee; Shu Kong (CVPR, 2024)

Boosting Image Restoration via Priors from Pre-Trained Models. - Xiaogang Xu 002; Shu Kong; Tao Hu 011; Zhe Liu 001; Hujun Bao (CVPR, 2024)

Instance Tracking in 3D Scenes from Egocentric Videos. - Yunhan Zhao; Haoyu Ma; Shu Kong; Charless C. Fowlkes (CVPR, 2024)

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. - Samia Shafique; Shu Kong; Charless C. Fowlkes (ECCV (63), 2024)

Improving Knowledge Distillation via Regularizing Feature Direction and Norm. - Yuzhu Wang; Lechao Cheng; Manni Duan; Yongheng Wang; Zunlei Feng; Shu Kong (ECCV (24), 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 (ICML, 2024)

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

Towards Unstructured Unlabeled Optical Mocap: A Video Helps! - Nicholas Milef; John Keyser; Shu Kong (SIGGRAPH (Conference Paper Track), 2024)

Roadside Monocular 3D Detection via 2D Detection Prompting. - Yechi Ma; Shuoquan Wei; Churun Zhang; Wei Hua; Yanan Li; Shu Kong (CoRR, 2024)

Few-Shot Recognition via Stage-Wise Augmented Finetuning. - Tian Liu 006; Huixin Zhang; Shubham Parashar; Shu Kong (CoRR, 2024)

Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning. - Tian Liu 006; Huixin Zhang; Shubham Parashar; Shu Kong (CVPR, 2025)

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

UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. - Hasnat Md Abdullah; Tian Liu 006; Kangda Wei; Shu Kong; Ruihong Huang (WACV, 2025)

Referring Expression Comprehension in semi-structured human-robot interaction. - Tianlei Jin; Qiwei Meng; Gege Zhang; Qiulan Huang; Fangtai Guo; Shu Kong; Wei Song 008; Jiakai Zhu; Jason Gu (Expert Syst. Appl., 2025)

Lidar Panoptic Segmentation in an Open World. - Anirudh Srinivasan Chakravarthy; Meghana Reddy Ganesina; Peiyun Hu; Laura Leal-Taixé; Shu Kong; Deva Ramanan; Aljosa Osep (Int. J. Comput. Vis., 2025)

OpenGAN: Open-Set Recognition via Open Data Generation. - Shu Kong; Deva Ramanan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Active Learning via Vision-Language Model Adaptation with Open Data. - Tong Wang; Jiaqi Wang 003; Shu Kong (CoRR, 2025)

Towards Auto-Annotation from Annotation Guidelines: A Benchmark through 3D LiDAR Detection. - Yechi Ma; Wei Hua; Shu Kong (CoRR, 2025)

Robust Few-Shot Vision-Language Model Adaptation. - Hanxin Wang; Tian Liu; Shu Kong (CoRR, 2025)

Attention to Burstiness: Low-Rank Bilinear Prompt Tuning. - Yuzhu Wang; Manni Duan; Shu Kong (CoRR, 2025)

Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval. - Sophie Zhou; Shu Kong (CoRR, 2025)

Information-Bottleneck Driven Binary Neural Network for Change Detection. - Kaijie Yin; Zhiyuan Zhang; Shu Kong; Tian Gao 004; Cheng-Zhong Xu 001; Hui Kong 001 (CoRR, 2025)

Super LiDAR Reflectance for Robotic Perception. - Wei Gao; Jie Zhang; Mingle Zhao; Zhiyuan Zhang; Shu Kong; Maani Ghaffari; Dezhen Song; Cheng-Zhong Xu 001; Hui Kong 001 (CoRR, 2025)