Shu Kong - RankMe

109 papers A* 22A 4B 5Misc 1Journal 67Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	EUREXA: End-User Reconfiguration of Environment with eXplainable Augmentation for Generative Fabrication. CHI Abul Al Arabi, Charles Yushi Cai, Ryann Lu, Shu Kong, Jeeeun Kim
2026	J	`jnl`	Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval. CoRR Tong Wang, Yunhan Zhao, Shu Kong
2026	J	`jnl`	Super LiDAR Intensity for Robotic Perception. IEEE Robotics Autom. Lett. Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Cheng-Zhong Xu, Hui Kong
2025	J	`jnl`	Active Learning via Vision-Language Model Adaptation with Open Data. CoRR Tong Wang, Jiaqi Wang, Shu Kong
2025	J	`jnl`	Attention to Burstiness: Low-Rank Bilinear Prompt Tuning. CoRR Yuzhu Wang, Manni Duan, Shu Kong
2025	B	`conf`	Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval. AVSS Sophie Zhou, Shu Kong
2025	J	`jnl`	Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval. CoRR Sophie Zhou, Shu Kong
2025	A*	`conf`	Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning. CVPR Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong
2025	J	`jnl`	Information-Bottleneck Driven Binary Neural Network for Change Detection. CoRR Kaijie Yin, Zhiyuan Zhang, Shu Kong, Tian Gao, Cheng-Zhong Xu, Hui Kong
2025	J	`jnl`	Lidar Panoptic Segmentation in an Open World. Int. J. Comput. Vis. Anirudh Srinivasan Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljosa Osep
2025	J	`jnl`	OpenGAN: Open-Set Recognition via Open Data Generation. IEEE Trans. Pattern Anal. Mach. Intell. Shu Kong, Deva Ramanan
2025	J	`jnl`	Referring Expression Comprehension in semi-structured human-robot interaction. Expert Syst. Appl. Tianlei Jin, Qiwei Meng, Gege Zhang, Qiulan Huang, Fangtai Guo, Shu Kong, Wei Song, Jiakai Zhu, Jason Gu
2025	J	`jnl`	Robust Few-Shot Vision-Language Model Adaptation. CoRR Hanxin Wang, Tian Liu, Shu Kong
2025	A*	`conf`	Solving Instance Detection from an Open-World Perspective. CVPR Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
2025	J	`jnl`	Solving Instance Detection from an Open-World Perspective. CoRR Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
2025	J	`jnl`	Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective. CoRR Tian Liu, Anwesha Basu, James Caverlee, Shu Kong
2025	J	`jnl`	Super LiDAR Reflectance for Robotic Perception. CoRR Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Cheng-Zhong Xu, Hui Kong
2025	J	`jnl`	Surely Large Multimodal Models (Don't) Excel in Visual Species Recognition? CoRR Tian Liu, Anwesha Basu, James Caverlee, Shu Kong
2025	J	`jnl`	Towards Auto-Annotation from Annotation Guidelines: A Benchmark through 3D LiDAR Detection. CoRR Yechi Ma, Wei Hua, Shu Kong
2025	A	`conf`	UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. WACV Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang
2024	A*	`conf`	AccessLens: Auto-detecting Inaccessibility of Everyday Objects. CHI Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim
2024	J	`jnl`	AccessLens: Auto-detecting Inaccessibility of Everyday Objects. CoRR Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim
2024	A*	`conf`	Alpha-CLIP: A CLIP Model Focusing on Wherever you Want. CVPR Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
2024	A*	`conf`	Boosting Image Restoration via Priors from Pre-Trained Models. CVPR Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao
2024	J	`jnl`	Boosting Image Restoration via Priors from Pre-trained Models. CoRR Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao
2024	—	`conf`	CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. ECCV (63) Samia Shafique, Shu Kong, Charless C. Fowlkes
2024	J	`jnl`	CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. CoRR Samia Shafique, Shu Kong, Charless C. Fowlkes
2024	J	`jnl`	Few-Shot Recognition via Stage-Wise Augmented Finetuning. CoRR Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong
2024	—	`conf`	Improving Knowledge Distillation via Regularizing Feature Direction and Norm. ECCV (24) Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong
2024	A*	`conf`	Instance Tracking in 3D Scenes from Egocentric Videos. CVPR Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes
2024	A*	`conf`	LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies. ICML Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong
2024	J	`jnl`	LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies. CoRR Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong
2024	J	`jnl`	Lidar Panoptic Segmentation in an Open World. CoRR Anirudh Srinivasan Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljosa Osep
2024	A*	`conf`	Revisiting Few-Shot Object Detection with Vision-Language Models. NeurIPS Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
2024	J	`jnl`	Roadside Monocular 3D Detection via 2D Detection Prompting. CoRR Yechi Ma, Shuoquan Wei, Churun Zhang, Wei Hua, Yanan Li, Shu Kong
2024	A*	`conf`	The Neglected Tails in Vision-Language Models. CVPR Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
2024	J	`jnl`	The Neglected Tails of Vision-Language Models. CoRR Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
2024	—	`conf`	Towards Unstructured Unlabeled Optical Mocap: A Video Helps! SIGGRAPH (Conference Paper Track) Nicholas Milef, John Keyser, Shu Kong
2024	J	`jnl`	Towards Unstructured Unlabeled Optical Mocap: A Video Helps! CoRR Nicholas Milef, John Keyser, Shu Kong
2024	J	`jnl`	UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. CoRR Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang
2023	J	`jnl`	A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture. CoRR Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
2023	A*	`conf`	A High-Resolution Dataset for Instance Detection with Multi-View Object Capture. NeurIPS Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
2023	J	`jnl`	Alpha-CLIP: A CLIP Model Focusing on Wherever You Want. CoRR Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
2023	A	`conf`	Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos. WACV Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes
2023	A	`conf`	Far3Det: Towards Far-Field 3D Detection. WACV Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
2023	J	`jnl`	Improving Knowledge Distillation via Regularizing Feature Norm and Direction. CoRR Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong
2023	J	`jnl`	Instance Tracking in 3D Scenes from Egocentric Videos. CoRR Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes
2023	J	`jnl`	Label-Free Detection of CA19-9 Using a BSA/Graphene-Based Antifouling Electrochemical Immunosensor. Sensors Wei Chen, Miaomiao Chi, Miaomiao Wang, Yage Liu, Shu Kong, Liping Du, Jian Wang, Chunsheng Wu
2023	J	`jnl`	Long-Tailed 3D Detection via 2D Late Fusion. CoRR Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong
2023	A*	`conf`	OV-PARTS: Towards Open-Vocabulary Part Segmentation. NeurIPS Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang
2023	J	`jnl`	OV-PARTS: Towards Open-Vocabulary Part Segmentation. CoRR Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang
2023	A*	`conf`	Prompting Scientific Names for Zero-Shot Species Recognition. EMNLP Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong
2023	J	`jnl`	Prompting Scientific Names for Zero-Shot Species Recognition. CoRR Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong
2023	J	`jnl`	Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
2022	A*	`conf`	Continual Learning with Evolving Class Ontologies. NeurIPS Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022	J	`jnl`	Far3Det: Towards Far-Field 3D Detection. CoRR Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
2022	J	`jnl`	Learning with an Evolving Class Ontology. CoRR Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022	A*	`conf`	Long- Tailed Recognition via Weight Balancing. CVPR Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022	J	`jnl`	Long-Tailed Recognition via Weight Balancing. CoRR Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022	—	`conf`	Multimodal Object Detection via Probabilistic Ensembling. ECCV (9) Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong
2022	J	`jnl`	ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. CoRR Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes
2022	Misc	`conf`	Towards Long-Tailed 3D Detection. CoRL Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
2022	J	`jnl`	Towards Long-Tailed 3D Detection. CoRR Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
2021	A*	`conf`	Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. CVPR Yunhan Zhao, Shu Kong, Charless C. Fowlkes
2021	J	`jnl`	Multimodal Object Detection via Bayesian Fusion. CoRR Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan
2021	A*	`conf`	OpenGAN: Open-Set Recognition via Open Data Generation. ICCV Shu Kong, Deva Ramanan
2021	J	`jnl`	OpenGAN: Open-Set Recognition via Open Data Generation. CoRR Shu Kong, Deva Ramanan
2020	—	`conf`	Celeganser: Automated Analysis of Nematode Morphology and Age. CVPR Workshops Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes
2020	J	`jnl`	Celeganser: Automated Analysis of Nematode Morphology and Age. CoRR Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes
2020	A*	`conf`	Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CVPR Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes
2020	J	`jnl`	Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CoRR Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes
2020	J	`jnl`	Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei
2020	J	`jnl`	Weak Supervision and Referring Attention for Temporal-Textual Association Learning. CoRR Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang
2020	J	`jnl`	When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. CoRR Yunhan Zhao, Shu Kong, Charless C. Fowlkes
2019	A*	`conf`	Modularized Textual Grounding for Counterfactual Resilience. CVPR Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang
2019	J	`jnl`	Modularized Textual Grounding for Counterfactual Resilience. CoRR Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang
2019	J	`jnl`	Multigrid Predictive Filter Flow for Unsupervised Learning on Videos. CoRR Shu Kong, Charless C. Fowlkes
2019	—	`—`	Pixel-Level Prediction: Models and Applications. Shu Kong
2019	A	`conf`	Pixel-Wise Attentional Gating for Scene Parsing. WACV Shu Kong, Charless C. Fowlkes
2018	J	`jnl`	Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei
2018	J	`jnl`	Image Reconstruction with Predictive Filter Flow. CoRR Shu Kong, Charless C. Fowlkes
2018	J	`jnl`	Pixel-wise Attentional Gating for Parsimonious Pixel Labeling. CoRR Shu Kong, Charless C. Fowlkes
2018	A*	`conf`	Recurrent Pixel Embedding for Instance Grouping. CVPR Shu Kong, Charless C. Fowlkes
2018	A*	`conf`	Recurrent Scene Parsing With Perspective Understanding in the Loop. CVPR Shu Kong, Charless C. Fowlkes
2018	J	`jnl`	Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang
2017	A*	`conf`	Low-Rank Bilinear Pooling for Fine-Grained Classification. CVPR Shu Kong, Charless C. Fowlkes
2017	J	`jnl`	Recurrent Pixel Embedding for Instance Grouping. CoRR Shu Kong, Charless C. Fowlkes
2017	J	`jnl`	Recurrent Scene Parsing with Perspective Understanding in the Loop. CoRR Shu Kong, Charless C. Fowlkes
2016	J	`jnl`	Low-rank Bilinear Pooling for Fine-Grained Classification. CoRR Shu Kong, Charless C. Fowlkes
2016	—	`conf`	Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV (1) Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes
2016	J	`jnl`	Photo Aesthetics Ranking Network with Attributes and Content Adaptation. CoRR Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes
2016	—	`conf`	Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CVPR Workshops Shu Kong, Surangi Punyasena, Charless C. Fowlkes
2016	J	`jnl`	Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CoRR Shu Kong, Surangi Punyasena, Charless C. Fowlkes
2015	J	`jnl`	Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. IEEE Trans. Image Process. Shu Kong, Zhuolin Jiang, Qiang Yang
2014	J	`jnl`	A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories. Pattern Recognit. Donghui Wang, Shu Kong
2014	J	`jnl`	Collaborative Receptive Field Learning. CoRR Shu Kong, Zhuolin Jiang, Qiang Yang
2014	J	`jnl`	Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification. CoRR Shu Kong, Zhuolin Jiang, Qiang Yang
2013	J	`jnl`	Integration of multi-feature fusion and dictionary learning for face recognition. Image Vis. Comput. Donghui Wang, Xikui Wang, Shu Kong
2013	—	`conf`	Learning Exemplar-Represented Manifolds in Latent Space for Classification. ECML/PKDD (3) Shu Kong, Donghui Wang
2013	J	`jnl`	Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball. Mach. Vis. Appl. Donghui Wang, Shu Kong
2013	B	`conf`	Learning individual-specific dictionaries with fused multiple features for face recognition. FG Shu Kong, Donghui Wang
2013	B	`conf`	Multiple feature fusion for face recognition. FG Shu Kong, Xikui Wang, Donghui Wang, Fei Wu
2012	—	`conf`	A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality. ECCV (1) Shu Kong, Donghui Wang
2012	J	`jnl`	A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example CoRR Shu Kong, Donghui Wang
2012	B	`conf`	A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality. ICPR Shu Kong, Donghui Wang
2012	J	`jnl`	Feature selection from high-order tensorial data via sparse decomposition. Pattern Recognit. Lett. Donghui Wang, Shu Kong
2012	J	`jnl`	Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy CoRR Shu Kong, Donghui Wang
2012	J	`jnl`	Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method CoRR Shu Kong, Donghui Wang
2012	B	`conf`	Transfer heterogeneous unlabeled data for unsupervised clustering. ICPR Shu Kong, Donghui Wang