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2020 – today
- 2024
[c35]Nahyun Kwon
, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim:
AccessLens: Auto-detecting Inaccessibility of Everyday Objects. CHI 2024: 963:1-963:17- [c34]Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao:
Boosting Image Restoration via Priors from Pre-Trained Models. CVPR 2024: 2900-2909 - [c33]Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails in Vision-Language Models. CVPR 2024: 12988-12997 - [c32]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. CVPR 2024: 13019-13029 - [c31]Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes:
Instance Tracking in 3D Scenes from Egocentric Videos. CVPR 2024: 21933-21944 - [c30]Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong:
Improving Knowledge Distillation via Regularizing Feature Direction and Norm. ECCV (24) 2024: 20-37 - [c29]Samia Shafique, Shu Kong, Charless C. Fowlkes:
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. ECCV (63) 2024: 217-235 - [c28]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. ICML 2024 - [c27]Nicholas Milef, John Keyser, Shu Kong:
Towards Unstructured Unlabeled Optical Mocap: A Video Helps! SIGGRAPH (Conference Paper Track) 2024: 49 - [i45]Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails of Vision-Language Models. CoRR abs/2401.12425 (2024) - [i44]Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim:
AccessLens: Auto-detecting Inaccessibility of Everyday Objects. CoRR abs/2401.15996 (2024) - [i43]Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao:
Boosting Image Restoration via Priors from Pre-trained Models. CoRR abs/2403.06793 (2024) - [i42]Yechi Ma, Shuoquan Wei, Churun Zhang, Wei Hua, Yanan Li, Shu Kong:
Roadside Monocular 3D Detection via 2D Detection Prompting. CoRR abs/2404.01064 (2024) - [i41]Samia Shafique, Shu Kong, Charless C. Fowlkes:
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. CoRR abs/2404.16972 (2024) - [i40]Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong:
Few-Shot Recognition via Stage-Wise Augmented Finetuning. CoRR abs/2406.11148 (2024) - [i39]Nicholas Milef, John Keyser, Shu Kong:
Towards Unstructured Unlabeled Optical Mocap: A Video Helps! CoRR abs/2407.06114 (2024) - [i38]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 abs/2407.16067 (2024) - [i37]Anirudh S. Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljosa Osep:
Lidar Panoptic Segmentation in an Open World. CoRR abs/2409.14273 (2024) - [i36]Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang:
UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. CoRR abs/2410.01180 (2024) - 2023
- [j7]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): 9693 (2023) - [c26]Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong:
Prompting Scientific Names for Zero-Shot Species Recognition. EMNLP 2023: 9856-9861 - [c25]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 - [c24]Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang:
OV-PARTS: Towards Open-Vocabulary Part Segmentation. NeurIPS 2023 - [c23]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701 - [c22]Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes:
Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos. WACV 2023: 858-868 - [i35]Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong:
Improving Knowledge Distillation via Regularizing Feature Norm and Direction. CoRR abs/2305.17007 (2023) - [i34]Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang:
OV-PARTS: Towards Open-Vocabulary Part Segmentation. CoRR abs/2310.05107 (2023) - [i33]Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong:
Prompting Scientific Names for Zero-Shot Species Recognition. CoRR abs/2310.09929 (2023) - [i32]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 abs/2310.19257 (2023) - [i31]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 abs/2312.03818 (2023) - [i30]Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes:
Instance Tracking in 3D Scenes from Egocentric Videos. CoRR abs/2312.04117 (2023) - [i29]Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong:
Long-Tailed 3D Detection via 2D Late Fusion. CoRR abs/2312.10986 (2023) - [i28]Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan:
Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR abs/2312.14494 (2023) - 2022
- [c21]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRL 2022: 1904-1915 - [c20]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long- Tailed Recognition via Weight Balancing. CVPR 2022: 6887-6897 - [c19]Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong:
Multimodal Object Detection via Probabilistic Ensembling. ECCV (9) 2022: 139-158 - [c18]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Continual Learning with Evolving Class Ontologies. NeurIPS 2022 - [i27]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long-Tailed Recognition via Weight Balancing. CoRR abs/2203.14197 (2022) - [i26]Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes:
ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. CoRR abs/2205.02361 (2022) - [i25]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Learning with an Evolving Class Ontology. CoRR abs/2210.04993 (2022) - [i24]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRR abs/2211.08691 (2022) - [i23]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. CoRR abs/2211.13858 (2022) - 2021
- [c17]Yunhan Zhao, Shu Kong, Charless C. Fowlkes:
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. CVPR 2021: 15759-15768 - [c16]Shu Kong, Deva Ramanan:
OpenGAN: Open-Set Recognition via Open Data Generation. ICCV 2021: 793-802 - [i22]Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan:
Multimodal Object Detection via Bayesian Fusion. CoRR abs/2104.02904 (2021) - [i21]Shu Kong, Deva Ramanan:
OpenGAN: Open-Set Recognition via Open Data Generation. CoRR abs/2104.02939 (2021) - 2020
- [j6]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392: 38-49 (2020) - [c15]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: 3327-3337 - [c14]Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes:
Celeganser: Automated Analysis of Nematode Morphology and Age. CVPR Workshops 2020: 4164-4173 - [i20]Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes:
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CoRR abs/2002.12114 (2020) - [i19]Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes:
Celeganser: Automated Analysis of Nematode Morphology and Age. CoRR abs/2005.04884 (2020) - [i18]Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang:
Weak Supervision and Referring Attention for Temporal-Textual Association Learning. CoRR abs/2006.11747 (2020) - [i17]Yunhan Zhao, Shu Kong, Charless C. Fowlkes:
When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. CoRR abs/2007.03887 (2020)
2010 – 2019
- 2019
- [b1]Shu Kong:
Pixel-Level Prediction: Models and Applications. University of California, Irvine, USA, 2019 - [c13]Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. CVPR 2019: 6378-6388 - [c12]Shu Kong, Charless C. Fowlkes:
Pixel-Wise Attentional Gating for Scene Parsing. WACV 2019: 1024-1033 - [i16]Shu Kong, Charless C. Fowlkes:
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos. CoRR abs/1904.01693 (2019) - [i15]Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. CoRR abs/1904.03589 (2019) - 2018
- [c11]Shu Kong, Charless C. Fowlkes:
Recurrent Scene Parsing With Perspective Understanding in the Loop. CVPR 2018: 956-965 - [c10]Shu Kong, Charless C. Fowlkes:
Recurrent Pixel Embedding for Instance Grouping. CVPR 2018: 9018-9028 - [i14]Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang:
Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR abs/1805.00545 (2018) - [i13]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR abs/1805.01024 (2018) - [i12]Shu Kong, Charless C. Fowlkes:
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling. CoRR abs/1805.01556 (2018) - [i11]Shu Kong, Charless C. Fowlkes:
Image Reconstruction with Predictive Filter Flow. CoRR abs/1811.11482 (2018) - 2017
- [c9]Shu Kong, Charless C. Fowlkes:
Low-Rank Bilinear Pooling for Fine-Grained Classification. CVPR 2017: 7025-7034 - [i10]Shu Kong, Charless C. Fowlkes:
Recurrent Scene Parsing with Perspective Understanding in the Loop. CoRR abs/1705.07238 (2017) - [i9]Shu Kong, Charless C. Fowlkes:
Recurrent Pixel Embedding for Instance Grouping. CoRR abs/1712.08273 (2017) - 2016
- [c8]Shu Kong, Surangi Punyasena, Charless C. Fowlkes:
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CVPR Workshops 2016: 1305-1314 - [c7]Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes:
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV (1) 2016: 662-679 - [i8]Shu Kong, Surangi Punyasena, Charless C. Fowlkes:
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CoRR abs/1605.00775 (2016) - [i7]Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes:
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. CoRR abs/1606.01621 (2016) - [i6]Shu Kong, Charless C. Fowlkes:
Low-rank Bilinear Pooling for Fine-Grained Classification. CoRR abs/1611.05109 (2016) - 2015
- [j5]Shu Kong, Zhuolin Jiang, Qiang Yang:
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. IEEE Trans. Image Process. 24(8): 2404-2414 (2015) - 2014
- [j4]Donghui Wang, Shu Kong:
A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories. Pattern Recognit. 47(2): 885-898 (2014) - [i5]Shu Kong, Zhuolin Jiang, Qiang Yang:
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification. CoRR abs/1401.5535 (2014) - [i4]Shu Kong, Zhuolin Jiang, Qiang Yang:
Collaborative Receptive Field Learning. CoRR abs/1402.0170 (2014) - 2013
- [j3]Donghui Wang, Xikui Wang, Shu Kong:
Integration of multi-feature fusion and dictionary learning for face recognition. Image Vis. Comput. 31(12): 895-904 (2013) - [j2]Donghui Wang, Shu Kong:
Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball. Mach. Vis. Appl. 24(6): 1213-1227 (2013) - [c6]Shu Kong, Donghui Wang:
Learning individual-specific dictionaries with fused multiple features for face recognition. FG 2013: 1-8 - [c5]Shu Kong, Xikui Wang, Donghui Wang, Fei Wu:
Multiple feature fusion for face recognition. FG 2013: 1-7 - [c4]Shu Kong, Donghui Wang:
Learning Exemplar-Represented Manifolds in Latent Space for Classification. ECML/PKDD (3) 2013: 240-255 - 2012
- [j1]Donghui Wang, Shu Kong:
Feature selection from high-order tensorial data via sparse decomposition. Pattern Recognit. Lett. 33(13): 1695-1702 (2012) - [c3]Shu Kong, Donghui Wang:
A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality. ECCV (1) 2012: 186-199 - [c2]Shu Kong, Donghui Wang:
A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality. ICPR 2012: 771-774 - [c1]Shu Kong, Donghui Wang:
Transfer heterogeneous unlabeled data for unsupervised clustering. ICPR 2012: 1193-1196 - [i3]Shu Kong, Donghui Wang:
Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy. CoRR abs/1203.0488 (2012) - [i2]Shu Kong, Donghui Wang:
A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example. CoRR abs/1203.0744 (2012) - [i1]Shu Kong, Donghui Wang:
Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method. CoRR abs/1203.0856 (2012)
Coauthor Index
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