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2020 – today
- 2025
[e1]Federica Proietto Salanitri
, Serestina Viriri, Ulas Bagci, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis, Cecilia S. Lee, Aaron Y. Lee:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3 [contents]- 2024
- [j8]Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Open Long-Tailed Recognition in a Dynamic World. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1836-1851 (2024) - [c85]Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR 2024: 4754-4763 - [c84]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CVPR 2024: 13106-13116 - [c83]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR 2024 - [c82]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 2024 - [c81]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. ICML 2024 - [c80]Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong:
On Discrete Prompt Optimization for Diffusion Models. ICML 2024 - [i86]Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR abs/2401.01952 (2024) - [i85]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CoRR abs/2401.06129 (2024) - [i84]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR abs/2402.13217 (2024) - [i83]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024) - [i82]Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang:
Automatic Jailbreaking of the Text-to-Image Generative AI Systems. CoRR abs/2405.16567 (2024) - [i81]Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng:
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. CoRR abs/2406.01970 (2024) - [i80]Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh:
Understanding the Impact of Negative Prompts: When and How Do They Take Effect? CoRR abs/2406.02965 (2024) - [i79]Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong:
On Discrete Prompt Optimization for Diffusion Models. CoRR abs/2407.01606 (2024) - 2023
- [c79]Dongdong Wang, Boqing Gong, Liqiang Wang:
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm. CVPR 2023: 23652-23662 - [c78]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. ICCV 2023: 6939-6950 - [c77]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. NeurIPS 2023 - [c76]Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong:
Video Timeline Modeling For News Story Understanding. NeurIPS 2023 - [i78]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. CoRR abs/2303.08998 (2023) - [i77]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR abs/2303.16341 (2023) - [i76]Xuhui Jia, Yang Zhao, Kelvin C. K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su:
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models. CoRR abs/2304.02642 (2023) - [i75]Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci:
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. CoRR abs/2304.02720 (2023) - [i74]Yu-Chuan Su, Kelvin C. K. Chan, Yandong Li, Yang Zhao, Han Zhang, Boqing Gong, Huisheng Wang, Xuhui Jia:
Identity Encoder for Personalized Diffusion. CoRR abs/2304.07429 (2023) - [i73]Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang:
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification. CoRR abs/2304.07882 (2023) - [i72]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR abs/2307.03166 (2023) - [i71]Yifan Ding, Liqiang Wang, Boqing Gong:
Multi-modal Domain Adaptation for REG via Relation Transfer. CoRR abs/2309.13247 (2023) - [i70]Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong:
Video Timeline Modeling For News Story Understanding. CoRR abs/2309.13446 (2023) - [i69]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. CoRR abs/2310.04550 (2023) - [i68]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR abs/2310.05737 (2023) - [i67]Calvin Luo, Boqing Gong, Ting Chen, Chen Sun:
Towards A Unified Neural Architecture for Visual Recognition and Reasoning. CoRR abs/2311.06386 (2023) - 2022
- [j7]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D visual relationship detection. Comput. Vis. Image Underst. 224: 103557 (2022) - [c75]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
On Temporal Granularity in Self-Supervised Video Representation Learning. BMVC 2022: 541 - [c74]Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos:
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CVPR Workshops 2022: 2935-2944 - [c73]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CVPR 2022: 13957-13966 - [c72]Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov:
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. ECCV (39) 2022: 70-89 - [c71]Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks. ECCV (13) 2022: 449-465 - [c70]Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations. ICLR 2022 - [c69]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR 2022 - [c68]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090 - [i66]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - [i65]Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos:
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. CoRR abs/2204.05376 (2022) - [i64]Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Open Long-Tailed Recognition in a Dynamic World. CoRR abs/2208.08349 (2022) - [i63]Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov:
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR abs/2210.08064 (2022) - [i62]Dongdong Wang, Boqing Gong, Liqiang Wang:
On Calibrating Semantic Segmentation Models: Analysis and An Algorithm. CoRR abs/2212.12053 (2022) - 2021
- [c67]Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. BMVC 2021: 165 - [c66]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CVPR 2021: 2663-2673 - [c65]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CVPR 2021: 6964-6974 - [c64]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CVPR 2021: 8208-8217 - [c63]Li Yi, Boqing Gong, Thomas A. Funkhouser:
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. CVPR 2021: 15363-15373 - [c62]Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong:
MoViNets: Mobile Video Networks for Efficient Video Recognition. CVPR 2021: 16020-16030 - [c61]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CVPR 2021: 16622-16631 - [c60]Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut:
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. EMNLP (1) 2021: 2148-2166 - [c59]Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. ICCV 2021: 407-417 - [c58]Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong:
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. ICCV 2021: 6557-6566 - [c57]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label Efficient Semantic Segmentation. ICCV 2021: 10603-10613 - [c56]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. ICML 2021: 9603-9613 - [c55]Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. NeurIPS 2021: 2529-2542 - [c54]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. NeurIPS 2021: 24206-24221 - [c53]Yifan Ding, Liqiang Wang, Boqing Gong:
Analyzing Deep Neural Network's Transferability via Fréchet Distance. WACV 2021: 3931-3940 - [i61]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. CoRR abs/2102.07215 (2021) - [i60]Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. CoRR abs/2102.08884 (2021) - [i59]Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong:
MoViNets: Mobile Video Networks for Efficient Video Recognition. CoRR abs/2103.11511 (2021) - [i58]Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CoRR abs/2103.13886 (2021) - [i57]Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. CoRR abs/2104.05279 (2021) - [i56]Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong:
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. CoRR abs/2104.11178 (2021) - [i55]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D Visual Relationship Detection. CoRR abs/2104.12727 (2021) - [i54]Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. CoRR abs/2106.01548 (2021) - [i53]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CoRR abs/2106.01899 (2021) - [i52]Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard:
Bridging the Gap Between Object Detection and User Intent via Query-Modulation. CoRR abs/2106.10258 (2021) - [i51]Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. CoRR abs/2107.02170 (2021) - [i50]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - [i49]Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training. CoRR abs/2109.09023 (2021) - [i48]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i47]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CoRR abs/2112.05181 (2021) - [i46]Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR abs/2112.07074 (2021) - 2020
- [j6]Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha:
Classifier and Exemplar Synthesis for Zero-Shot Learning. Int. J. Comput. Vis. 128(1): 166-201 (2020) - [j5]Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong:
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 1823-1841 (2020) - [c52]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CVPR 2020: 816-825 - [c51]Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. CVPR 2020: 1495-1504 - [c50]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR 2020: 7607-7616 - [c49]Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh:
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. CVPR 2020: 9598-9607 - [c48]Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong:
Open Compound Domain Adaptation. CVPR 2020: 12403-12412 - [c47]Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. ECCV (29) 2020: 589-607 - [c46]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR 2020 - [c45]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. ICRA 2020: 9701-9707 - [i45]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR abs/2001.02378 (2020) - [i44]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR abs/2003.10780 (2020) - [i43]Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model. CoRR abs/2003.13960 (2020) - [i42]Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong:
When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR abs/2005.00570 (2020) - [i41]Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le:
Smooth Adversarial Training. CoRR abs/2006.14536 (2020) - [i40]Li Yi, Boqing Gong, Thomas A. Funkhouser:
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. CoRR abs/2007.08488 (2020) - [i39]Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong:
Improving Object Detection with Selective Self-supervised Self-training. CoRR abs/2007.09162 (2020) - [i38]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CoRR abs/2008.03800 (2020) - [i37]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CoRR abs/2011.11200 (2020) - [i36]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label-Efficient Semantic Segmentation. CoRR abs/2012.06985 (2020)
2010 – 2019
- 2019
- [c44]Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong:
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. AAAI 2019: 3510-3517 - [c43]Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang:
A Robust Zero-Sum Game Framework for Pool-based Active Learning. AISTATS 2019: 517-526 - [c42]Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong:
Defending Against Adversarial Attacks Using Random Forest. CVPR Workshops 2019: 105-114 - [c41]Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. CVPR 2019: 2537-2546 - [c40]Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu:
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses. CVPR 2019: 10444-10452 - [c39]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. ICCV 2019: 2100-2110 - [c38]Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo:
A Fast and Accurate One-Stage Approach to Visual Grounding. ICCV 2019: 4682-4692 - [c37]Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong:
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. ICCV 2019: 6757-6766 - [c36]Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang:
DHER: Hindsight Experience Replay for Dynamic Goals. ICLR (Poster) 2019 - [c35]Yang Zhang, Hassan Foroosh, Philip David, Boqing Gong:
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. ICLR (Poster) 2019 - [c34]Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong:
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. ICML 2019: 3866-3876 - [c33]Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong:
Facial Image-to-Video Translation by a Hidden Affine Transformation. ACM Multimedia 2019: 2505-2513 - [c32]Lijun Li, Boqing Gong:
End-to-End Video Captioning With Multitask Reinforcement Learning. WACV 2019: 339-348 - [c31]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV 2019: 913-921 - [c30]Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang:
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. WWW 2019: 1806-1817 - [i35]Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang:
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. CoRR abs/1902.09255 (2019) - [i34]