Boqing Gong

According to our database, Boqing Gong authored at least 124 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

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

Medical Image Anal., 2025

2024

Open Long-Tailed Recognition in a Dynamic World.

Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities.

Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

CoRR, 2024

ε-VAE: Denoising as Visual Decoding.

Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu

CoRR, 2024

SOAR: Self-supervision Optimized UAV Action Recognition with Efficient Object-Aware Pretraining.

Ruiqi Xian, Xiyang Wu, Tianrui Guan, Xijun Wang, Boqing Gong, Dinesh Manocha

CoRR, 2024

The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise.

Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng

CoRR, 2024

Automatic Jailbreaking of the Text-to-Image Generative AI Systems.

Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang

CoRR, 2024

On Discrete Prompt Optimization for Diffusion Models.

Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

VideoPrism: A Foundational Visual Encoder for Video Understanding.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Model Beats Diffusion - Tokenizer is key to visual generation.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding.

Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding the Impact of Negative Prompts: When and How Do They Take Effect?

Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh

Proceedings of the Computer Vision - ECCV 2024, 2024

Instruct-Imagen: Image Generation with Multi-modal Instruction.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distilling Vision-Language Models on Millions of Videos.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards A Unified Neural Architecture for Visual Recognition and Reasoning.

Calvin Luo, Boqing Gong, Ting Chen, Chen Sun

CoRR, 2023

Multi-modal Domain Adaptation for REG via Relation Transfer.

Yifan Ding, Liqiang Wang, Boqing Gong

CoRR, 2023

VideoGLUE: Video General Understanding Evaluation of Foundation Models.

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

CoRR, 2023

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.

Hong-You Chen, Jike Zhong, Mingda Zhang, Xuhui Jia, Hang Qi, Boqing Gong, Wei-Lun Chao, Li Zhang

CoRR, 2023

Identity Encoder for Personalized Diffusion.

Yu-Chuan Su, Kelvin C. K. Chan, Yandong Li, Yang Zhao, Han Zhang, Boqing Gong, Huisheng Wang, Xuhui Jia

CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.

Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci

CoRR, 2023

Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.

Xuhui Jia, Yang Zhao, Kelvin C. K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su

CoRR, 2023

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding.

Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

CoRR, 2023

Video Timeline Modeling For News Story Understanding.

Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Module-wise Adaptive Distillation for Multimodality Foundation Models.

Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified Visual Relationship Detection with Vision and Language Models.

Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On Calibrating Semantic Segmentation Models: Analyses and An Algorithm.

Dongdong Wang, Boqing Gong, Liqiang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

2.5D visual relationship detection.

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

Comput. Vis. Image Underst., 2022

On Calibrating Semantic Segmentation Models: Analysis and An Algorithm.

Dongdong Wang, Boqing Gong, Liqiang Wang

CoRR, 2022

Federated Multi-Target Domain Adaptation.

Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Surrogate Gap Minimization Improves Sharpness-Aware Training.

Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.

Xiangning Chen, Cho-Jui Hsieh, Boqing Gong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks.

Zihang Zou, Boqing Gong, Liqiang Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds.

Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision.

Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space.

Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

On Temporal Granularity in Self-Supervised Video Representation Learning.

Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text.

Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown

CoRR, 2021

Exploring Temporal Granularity in Self-Supervised Video Representation Learning.

Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

CoRR, 2021

Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training.

Zihang Zou, Boqing Gong, Liqiang Wang

CoRR, 2021

Bridging the Gap Between Object Detection and User Intent via Query-Modulation.

Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew G. Howard

CoRR, 2021

When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations.

Xiangning Chen, Cho-Jui Hsieh, Boqing Gong

CoRR, 2021

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.

Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

CoRR, 2021

Analyzing Deep Neural Network's Transferability via Fréchet Distance.

Yifan Ding, Liqiang Wang, Boqing Gong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.

Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text.

Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Large-Scale Meta-Learning with Continual Trajectory Shifting.

Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang

Proceedings of the 38th International Conference on Machine Learning, 2021

Contrastive Learning for Label Efficient Semantic Segmentation.

Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.

Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning.

Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization.

Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds.

Li Yi, Boqing Gong, Thomas A. Funkhouser

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatiotemporal Contrastive Video Representation Learning.

Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Ranking Neural Checkpoints.

Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MoViNets: Mobile Video Networks for Efficient Video Recognition.

Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarially Adaptive Normalization for Single Domain Generalization.

Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust and Accurate Object Detection via Adversarial Learning.

Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Class-Balanced Distillation for Long-Tailed Visual Recognition.

Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes.

Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Classifier and Exemplar Synthesis for Zero-Shot Learning.

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

Int. J. Comput. Vis., 2020

Smooth Adversarial Training.

Cihang Xie, Mingxing Tan, Boqing Gong, Alan L. Yuille, Quoc V. Le

CoRR, 2020

When Ensembling Smaller Models is More Efficient than Single Large Models.

Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong

CoRR, 2020

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation.

Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius.

Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Object Detection with Selective Self-supervised Self-training.

Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Examples Improve Image Recognition.

Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model.

Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective.

Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.

Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Open Compound Domain Adaptation.

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Compound Domain Adaptation in an Open World.

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong

CoRR, 2019

Defending Against Adversarial Attacks Using Random Forests.

Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

CoRR, 2019

Synthesized Policies for Transfer and Adaptation across Tasks and Environments.

Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha

CoRR, 2019

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.

Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang

Proceedings of the World Wide Web Conference, 2019

End-to-End Video Captioning With Multitask Reinforcement Learning.

Lijun Li, Boqing Gong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy.

Zhezhi He, Boqing Gong, Deliang Fan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Facial Image-to-Video Translation by a Hidden Affine Transformation.

Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong

Proceedings of the 27th ACM International Conference on Multimedia, 2019

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.

Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong

Proceedings of the 36th International Conference on Machine Learning, 2019

CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild.

Yang Zhang, Hassan Foroosh, Philip David, Boqing Gong

Proceedings of the 7th International Conference on Learning Representations, 2019

DHER: Hindsight Experience Replay for Dynamic Goals.

Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data.

Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Fast and Accurate One-Stage Approach to Visual Grounding.

Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach.

Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Defending Against Adversarial Attacks Using Random Forest.

Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses.

Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Large-Scale Long-Tailed Recognition in an Open World.

Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Robust Zero-Sum Game Framework for Pool-based Active Learning.

Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation.

Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables.

Amir Mazaheri, Boqing Gong, Mubarak Shah

ACM Trans. Multim. Comput. Commun. Appl., 2018

Exploring a SOT-MRAM Based In-Memory Computing for Data Processing.

Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan

IEEE Trans. Multi Scale Comput. Syst., 2018

Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions.

Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan

CoRR, 2018

Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples.

Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan

CoRR, 2018

A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels.

Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Synthesize Policies for Transfer and Adaptation across Tasks and Environments.

Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.

Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang

Proceedings of the 6th International Conference on Learning Representations, 2018

Improving Sequential Determinantal Point Processes for Supervised Video Summarization.

Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong

Proceedings of the Computer Vision - ECCV 2018, 2018

How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization.

Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting.

Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning.

Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

End-to-End Learning of Motion Representation for Video Understanding.

Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation.

Boqing Gong, Kristen Grauman, Fei Sha

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

A Multisource Domain Generalization Approach to Visual Attribute Detection.

Chuang Gan, Tianbao Yang, Boqing Gong

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes.

Yang Zhang, Philip David, Boqing Gong

Proceedings of the IEEE International Conference on Computer Vision, 2017

VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation.

Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong

Proceedings of the IEEE International Conference on Computer Vision, 2017

Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach.

Aidean Sharghi, Jacob S. Laurel, Boqing Gong

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Improving Facial Attribute Prediction Using Semantic Segmentation.

Mahdi M. Kalayeh, Boqing Gong, Mubarak Shah

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weighted geodesic flow kernel for interpersonal mutual influence modeling and emotion recognition in dyadic interactions.

Zhaojun Yang, Boqing Gong, Shrikanth S. Narayanan

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Infinite-Label Learning with Semantic Output Codes.

Yang Zhang, Rupam Acharyya, Ji Liu, Boqing Gong

CoRR, 2016

Improved Dropout for Shallow and Deep Learning.

Zhe Li, Boqing Gong, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Query-Focused Extractive Video Summarization.

Aidean Sharghi, Boqing Gong, Mubarak Shah

Proceedings of the Computer Vision - ECCV 2016, 2016

Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames.

Chuang Gan, Chen Sun, Lixin Duan, Boqing Gong

Proceedings of the Computer Vision - ECCV 2016, 2016

An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.

Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha

Proceedings of the Computer Vision - ECCV 2016, 2016

Fast Zero-Shot Image Tagging.

Yang Zhang, Boqing Gong, Mubarak Shah

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Attributes Equals Multi-Source Domain Generalization.

Chuang Gan, Tianbao Yang, Boqing Gong

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Synthesized Classifiers for Zero-Shot Learning.

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Large-Margin Determinantal Point Processes.

Wei-Lun Chao, Boqing Gong, Kristen Grauman, Fei Sha

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition.

Boqing Gong, Kristen Grauman, Fei Sha

Int. J. Comput. Vis., 2014

Diverse Sequential Subset Selection for Supervised Video Summarization.

Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Learning Semantic Signatures for 3D Object Retrieval.

Boqing Gong, Jianzhuang Liu, Xiaogang Wang, Xiaoou Tang

IEEE Trans. Multim., 2013

Reshaping Visual Datasets for Domain Adaptation.

Boqing Gong, Kristen Grauman, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation.

Boqing Gong, Kristen Grauman, Fei Sha

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Geodesic flow kernel for unsupervised domain adaptation.

Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

3D object retrieval with semantic attributes.

Boqing Gong, Jianzhuang Liu, Xiaogang Wang, Xiaoou Tang

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2009

Boosting 3D object retrieval by object flexibility.

Boqing Gong, Chunjing Xu, Jianzhuang Liu, Xiaoou Tang

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Automatic facial expression recognition on a single 3D face by exploring shape deformation.

Boqing Gong, Yueming Wang, Jianzhuang Liu, Xiaoou Tang

Proceedings of the 17th International Conference on Multimedia 2009, 2009