Shu Kong

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 62

Top Topics

Unsupervised Learning

Dictionary Learning

Object Detection

Top Venues

Publications

Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao
Boosting Image Restoration via Priors from Pre-trained Models. CoRR (2024)
Nicholas Milef, John Keyser, Shu Kong
Towards Unstructured Unlabeled Optical Mocap: A Video Helps! SIGGRAPH (Conference Paper Track) (2024)
Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
The Neglected Tails of Vision-Language Models. CoRR (2024)
Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim
AccessLens: Auto-detecting Inaccessibility of Everyday Objects. CoRR (2024)
Yechi Ma, Shuoquan Wei, Churun Zhang, Wei Hua, Yanan Li, Shu Kong
Roadside Monocular 3D Detection via 2D Detection Prompting. CoRR (2024)
Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim
AccessLens: Auto-detecting Inaccessibility of Everyday Objects. CHI (2024)
Samia Shafique, Shu Kong, Charless C. Fowlkes
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. CoRR (2024)
Nicholas Milef, John Keyser, Shu Kong
Towards Unstructured Unlabeled Optical Mocap: A Video Helps! CoRR (2024)
Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies. CoRR (2024)
Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong
Few-Shot Recognition via Stage-Wise Augmented Finetuning. CoRR (2024)
Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong
Improving Knowledge Distillation via Regularizing Feature Norm and Direction. CoRR (2023)
Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR (2023)
Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong
Long-Tailed 3D Detection via 2D Late Fusion. CoRR (2023)
Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want. CoRR (2023)
Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
A High-Resolution Dataset for Instance Detection with Multi-View Object Capture. NeurIPS (2023)
Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
Far3Det: Towards Far-Field 3D Detection. WACV (2023)
Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong
Prompting Scientific Names for Zero-Shot Species Recognition. CoRR (2023)
Wei Chen, Miaomiao Chi, Miaomiao Wang, Yage Liu, Shu Kong, Liping Du, Jian Wang, Chunsheng Wu
Label-Free Detection of CA19-9 Using a BSA/Graphene-Based Antifouling Electrochemical Immunosensor. Sensors 23 (24) (2023)
Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes
Instance Tracking in 3D Scenes from Egocentric Videos. CoRR (2023)
Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang
OV-PARTS: Towards Open-Vocabulary Part Segmentation. NeurIPS (2023)
Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang
OV-PARTS: Towards Open-Vocabulary Part Segmentation. CoRR (2023)
Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong
Prompting Scientific Names for Zero-Shot Species Recognition. EMNLP (2023)
Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture. CoRR (2023)
Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes
Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos. WACV (2023)
Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong
Multimodal Object Detection via Probabilistic Ensembling. ECCV (9) (2022)
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Learning with an Evolving Class Ontology. CoRR (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRL (2022)
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Long-Tailed Recognition via Weight Balancing. CoRR (2022)
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Long- Tailed Recognition via Weight Balancing. CVPR (2022)
Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes
ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. CoRR (2022)
Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
Far3Det: Towards Far-Field 3D Detection. CoRR (2022)
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Continual Learning with Evolving Class Ontologies. NeurIPS (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRR (2022)
Shu Kong, Deva Ramanan
OpenGAN: Open-Set Recognition via Open Data Generation. ICCV (2021)
Yunhan Zhao, Shu Kong, Charless C. Fowlkes
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. CVPR (2021)
Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan
Multimodal Object Detection via Bayesian Fusion. CoRR (2021)
Shu Kong, Deva Ramanan
OpenGAN: Open-Set Recognition via Open Data Generation. CoRR (2021)
Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CVPR (2020)
Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes
Celeganser: Automated Analysis of Nematode Morphology and Age. CVPR Workshops (2020)
Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes
Celeganser: Automated Analysis of Nematode Morphology and Age. CoRR (2020)
Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CoRR (2020)
Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392 (2020)
Yunhan Zhao, Shu Kong, Charless C. Fowlkes
When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. CoRR (2020)
Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang
Weak Supervision and Referring Attention for Temporal-Textual Association Learning. CoRR (2020)
Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang
Modularized Textual Grounding for Counterfactual Resilience. CVPR (2019)
Shu Kong, Charless C. Fowlkes
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos. CoRR (2019)
Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang
Modularized Textual Grounding for Counterfactual Resilience. CoRR (2019)
Shu Kong, Charless C. Fowlkes
Pixel-Wise Attentional Gating for Scene Parsing. WACV (2019)
Shu Kong, Charless C. Fowlkes
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling. CoRR (2018)
Shu Kong, Charless C. Fowlkes
Recurrent Pixel Embedding for Instance Grouping. CVPR (2018)
Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR (2018)
Shu Kong, Charless C. Fowlkes
Image Reconstruction with Predictive Filter Flow. CoRR (2018)
Shu Kong, Charless C. Fowlkes
Recurrent Scene Parsing With Perspective Understanding in the Loop. CVPR (2018)
Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang
Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR (2018)
Shu Kong, Charless C. Fowlkes
Recurrent Scene Parsing with Perspective Understanding in the Loop. CoRR (2017)
Shu Kong, Charless C. Fowlkes
Recurrent Pixel Embedding for Instance Grouping. CoRR (2017)
Shu Kong, Charless C. Fowlkes
Low-Rank Bilinear Pooling for Fine-Grained Classification. CVPR (2017)
Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. CoRR (2016)
Shu Kong, Surangi Punyasena, Charless C. Fowlkes
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CVPR Workshops (2016)
Shu Kong, Surangi Punyasena, Charless C. Fowlkes
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CoRR (2016)
Shu Kong, Xiaohui Shen, Zhe L. Lin, Radomír Mech, Charless C. Fowlkes
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV (1) (2016)
Shu Kong, Charless C. Fowlkes
Low-rank Bilinear Pooling for Fine-Grained Classification. CoRR (2016)
Shu Kong, Zhuolin Jiang, Qiang Yang
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. IEEE Trans. Image Process. 24 (8) (2015)
Shu Kong, Zhuolin Jiang, Qiang Yang
Collaborative Receptive Field Learning. CoRR (2014)
Shu Kong, Zhuolin Jiang, Qiang Yang
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification. CoRR (2014)
Donghui Wang, Shu Kong
A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories. Pattern Recognit. 47 (2) (2014)
Shu Kong, Xikui Wang, Donghui Wang, Fei Wu
Multiple feature fusion for face recognition. FG (2013)
Donghui Wang, Shu Kong
Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball. Mach. Vis. Appl. 24 (6) (2013)
Shu Kong, Donghui Wang
Learning Exemplar-Represented Manifolds in Latent Space for Classification. ECML/PKDD (3) (2013)
Donghui Wang, Xikui Wang, Shu Kong
Integration of multi-feature fusion and dictionary learning for face recognition. Image Vis. Comput. 31 (12) (2013)
Shu Kong, Donghui Wang
Learning individual-specific dictionaries with fused multiple features for face recognition. FG (2013)
Shu Kong, Donghui Wang
A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality. ECCV (1) (2012)
Donghui Wang, Shu Kong
Feature selection from high-order tensorial data via sparse decomposition. Pattern Recognit. Lett. 33 (13) (2012)
Shu Kong, Donghui Wang
Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy CoRR (2012)
Shu Kong, Donghui Wang
A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality. ICPR (2012)
Shu Kong, Donghui Wang
Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method CoRR (2012)
Shu Kong, Donghui Wang
Transfer heterogeneous unlabeled data for unsupervised clustering. ICPR (2012)
Shu Kong, Donghui Wang
A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example CoRR (2012)