Automatic facial expression recognition on a single 3D face by exploring shape deformation. - Boqing Gong; Yueming Wang 001; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2009)

Boosting 3D object retrieval by object flexibility. - Boqing Gong; Chunjing Xu; Jianzhuang Liu; Xiaoou Tang (ACM Multimedia, 2009)

3D object retrieval with semantic attributes. - Boqing Gong; Jianzhuang Liu; Xiaogang Wang 001; Xiaoou Tang (ACM Multimedia, 2011)

Geodesic flow kernel for unsupervised domain adaptation. - Boqing Gong; Yuan Shi; Fei Sha; Kristen Grauman (CVPR, 2012)

Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation. - Boqing Gong; Kristen Grauman; Fei Sha (ICML (1), 2013)

Reshaping Visual Datasets for Domain Adaptation. - Boqing Gong; Kristen Grauman; Fei Sha (NIPS, 2013)

Learning Semantic Signatures for 3D Object Retrieval. - Boqing Gong; Jianzhuang Liu; Xiaogang Wang 001; Xiaoou Tang (IEEE Trans. Multim., 2013)

Diverse Sequential Subset Selection for Supervised Video Summarization. - Boqing Gong; Wei-Lun Chao; Kristen Grauman; Fei Sha (NIPS, 2014)

Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition. - Boqing Gong; Kristen Grauman; Fei Sha (Int. J. Comput. Vis., 2014)

Large-Margin Determinantal Point Processes. - Wei-Lun Chao; Boqing Gong; Kristen Grauman; Fei Sha (UAI, 2015)

Synthesized Classifiers for Zero-Shot Learning. - Soravit Changpinyo; Wei-Lun Chao; Boqing Gong; Fei Sha (CVPR, 2016)

Learning Attributes Equals Multi-Source Domain Generalization. - Chuang Gan 001; Tianbao Yang; Boqing Gong (CVPR, 2016)

Fast Zero-Shot Image Tagging. - Yang Zhang 035; Boqing Gong; Mubarak Shah (CVPR, 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 (ECCV (2), 2016)

Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames. - Chuang Gan 001; Chen Sun 002; Lixin Duan; Boqing Gong (ECCV (3), 2016)

Query-Focused Extractive Video Summarization. - Aidean Sharghi; Boqing Gong; Mubarak Shah (ECCV (8), 2016)

Improved Dropout for Shallow and Deep Learning. - Zhe Li 008; Boqing Gong; Tianbao Yang (NIPS, 2016)

Infinite-Label Learning with Semantic Output Codes. - Yang Zhang 035; Rupam Acharyya; Ji Liu; Boqing Gong (CoRR, 2016)

Weighted geodesic flow kernel for interpersonal mutual influence modeling and emotion recognition in dyadic interactions. - Zhaojun Yang; Boqing Gong; Shrikanth S. Narayanan (ACII, 2017)

Improving Facial Attribute Prediction Using Semantic Segmentation. - Mahdi M. Kalayeh; Boqing Gong; Mubarak Shah (CVPR, 2017)

Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach. - Aidean Sharghi; Jacob S. Laurel; Boqing Gong (CVPR, 2017)

VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. - Chuang Gan 001; Yandong Li; Haoxiang Li; Chen Sun 002; Boqing Gong (ICCV, 2017)

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes. - Yang Zhang 035; Philip David; Boqing Gong (ICCV, 2017)

A Multisource Domain Generalization Approach to Visual Attribute Detection. - Chuang Gan 001; Tianbao Yang; Boqing Gong (Domain Adaptation in Computer Vision Applications, 2017)

Geodesic Flow Kernel and Landmarks: Kernel Methods for Unsupervised Domain Adaptation. - Boqing Gong; Kristen Grauman; Fei Sha (Domain Adaptation in Computer Vision Applications, 2017)

End-to-End Learning of Motion Representation for Video Understanding. - Lijie Fan; Wen-bing Huang 001; Chuang Gan 001; Stefano Ermon; Boqing Gong; Junzhou Huang (CVPR, 2018)

Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. - Chuang Gan 001; Boqing Gong; Kun Liu 021; Hao Su 001; Leonidas J. Guibas (CVPR, 2018)

Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting. - Muhammad Abdullah Jamal; Haoxiang Li; Boqing Gong (CVPR, 2018)

How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. - Yandong Li; Liqiang Wang 001; Tianbao Yang; Boqing Gong (ECCV (8), 2018)

Improving Sequential Determinantal Point Processes for Supervised Video Summarization. - Aidean Sharghi; Ali Borji; Chengtao Li; Tianbao Yang; Boqing Gong (ECCV (3), 2018)

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. - Xiang Wei 007; Boqing Gong; Zixia Liu; Wei Lu 010; Liqiang Wang 001 (ICLR (Poster), 2018)

Synthesize Policies for Transfer and Adaptation across Tasks and Environments. - Hexiang Hu; Liyu Chen; Boqing Gong; Fei Sha (NeurIPS, 2018)

A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. - Yifan Ding; Liqiang Wang 001; Deliang Fan; Boqing Gong (WACV, 2018)

Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. - Adnan Siraj Rakin; Zhezhi He; Boqing Gong; Deliang Fan (CoRR, 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)

Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. - Zhezhi He; Yang Zhang 035; Shaahin Angizi; Boqing Gong; Deliang Fan (IEEE Trans. Multi Scale Comput. Syst., 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)

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. - Lijie Fan; Wenbing Huang 001; Chuang Gan 001; Junzhou Huang; Boqing Gong (AAAI, 2019)

A Robust Zero-Sum Game Framework for Pool-based Active Learning. - Dixian Zhu; Zhe Li 008; Xiaoyu Wang 002; Boqing Gong; Tianbao Yang (AISTATS, 2019)

Large-Scale Long-Tailed Recognition in an Open World. - Ziwei Liu 002; Zhongqi Miao; Xiaohang Zhan; Jiayun Wang; Boqing Gong; Stella X. Yu (CVPR, 2019)

Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses. - Jing Shi 005; Jia Xu; Boqing Gong; Chenliang Xu (CVPR, 2019)

Defending Against Adversarial Attacks Using Random Forest. - Yifan Ding; Liqiang Wang 001; Huan Zhang 001; Jinfeng Yi; Deliang Fan; Boqing Gong (CVPR Workshops, 2019)

Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. - Qing Lian; Lixin Duan; Fengmao Lv; Boqing Gong (ICCV, 2019)

A Fast and Accurate One-Stage Approach to Visual Grounding. - Zhengyuan Yang; Boqing Gong; Liwei Wang 009; Wenbing Huang 001; Dong Yu 001; Jiebo Luo 001 (ICCV, 2019)

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. - Xiangyu Yue 001; Yang Zhang 035; Sicheng Zhao; Alberto L. Sangiovanni-Vincentelli; Kurt Keutzer; Boqing Gong (ICCV, 2019)

DHER: Hindsight Experience Replay for Dynamic Goals. - Meng Fang; Cheng Zhou; Bei Shi; Boqing Gong; Jia Xu 011; Tong Zhang 001 (ICLR (Poster), 2019)

CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild. - Yang Zhang 035; Hassan Foroosh; Philip David; Boqing Gong (ICLR (Poster), 2019)

NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks. - Yandong Li; Lijun Li; Liqiang Wang 001; Tong Zhang 001; Boqing Gong (ICML, 2019)

Facial Image-to-Video Translation by a Hidden Affine Transformation. - Guangyao Shen; Wenbing Huang 001; Chuang Gan 001; Mingkui Tan; Junzhou Huang; Wenwu Zhu 001; Boqing Gong (ACM Multimedia, 2019)

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. - Zhezhi He; Boqing Gong; Deliang Fan (WACV, 2019)

End-to-End Video Captioning With Multitask Reinforcement Learning. - Lijun Li; Boqing Gong (WACV, 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 001; Xiaoyu Wang 002 (WWW, 2019)

Synthesized Policies for Transfer and Adaptation across Tasks and Environments. - Hexiang Hu; Liyu Chen; Boqing Gong; Fei Sha (CoRR, 2019)

Defending Against Adversarial Attacks Using Random Forests. - Yifan Ding; Liqiang Wang 001; Huan Zhang 001; Jinfeng Yi; Deliang Fan; Boqing Gong (CoRR, 2019)

Compound Domain Adaptation in an Open World. - Ziwei Liu 002; Zhongqi Miao; Xingang Pan; Xiaohang Zhan; Stella X. Yu; Dahua Lin; Boqing Gong (CoRR, 2019)

Open Compound Domain Adaptation. - Ziwei Liu 002; Zhongqi Miao; Xingang Pan; Xiaohang Zhan; Dahua Lin; Stella X. Yu; Boqing Gong (CVPR, 2020)

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. - Yang Zhang 035; Zixiang Zhou; Philip David; Xiangyu Yue 001; Zerong Xi; Boqing Gong; Hassan Foroosh (CVPR, 2020)

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. - Muhammad Abdullah Jamal; Matthew Brown 001; Ming-Hsuan Yang 001; Liqiang Wang 001; Boqing Gong (CVPR, 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 001; Boqing Gong (CVPR, 2020)

Adversarial Examples Improve Image Recognition. - Cihang Xie; Mingxing Tan; Boqing Gong; Jiang Wang 001; Alan L. Yuille; Quoc V. Le (CVPR, 2020)

Improving Object Detection with Selective Self-supervised Self-training. - Yandong Li; Di Huang; Danfeng Qin; Liqiang Wang 001; Boqing Gong (ECCV (29), 2020)

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. - Runtian Zhai; Chen Dan 001; Di He 001; Huan Zhang 001; Boqing Gong; Pradeep Ravikumar; Cho-Jui Hsieh; Liwei Wang 001 (ICLR, 2020)

Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. - Chuang Gan 001; Yiwei Zhang; Jiajun Wu 001; Boqing Gong; Joshua B. Tenenbaum (ICRA, 2020)

When Ensembling Smaller Models is More Efficient than Single Large Models. - Dan Kondratyuk; Mingxing Tan; Matthew Brown 001; Boqing Gong (CoRR, 2020)

Smooth Adversarial Training. - Cihang Xie; Mingxing Tan; Boqing Gong; Alan L. Yuille; Quoc V. Le (CoRR, 2020)

Classifier and Exemplar Synthesis for Zero-Shot Learning. - Soravit Changpinyo; Wei-Lun Chao; Boqing Gong; Fei Sha (Int. J. Comput. Vis., 2020)

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. - Yang Zhang 035; Philip David; Hassan Foroosh; Boqing Gong (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Class-Balanced Distillation for Long-Tailed Visual Recognition. - Ahmet Iscen; André Araújo 001; Boqing Gong; Cordelia Schmid (BMVC, 2021)

Robust and Accurate Object Detection via Adversarial Learning. - Xiangning Chen; Cihang Xie; Mingxing Tan; Li Zhang 003; Cho-Jui Hsieh; Boqing Gong (CVPR, 2021)

Adversarially Adaptive Normalization for Single Domain Generalization. - Xinjie Fan; Qifei Wang; Junjie Ke; Feng Yang; Boqing Gong; Mingyuan Zhou (CVPR, 2021)

MoViNets: Mobile Video Networks for Efficient Video Recognition. - Dan Kondratyuk; Liangzhe Yuan; Yandong Li; Li Zhang 003; Mingxing Tan; Matthew Brown 001; Boqing Gong (CVPR, 2021)

Ranking Neural Checkpoints. - Yandong Li; Xuhui Jia; Ruoxin Sang; Yukun Zhu; Bradley Green; Liqiang Wang 001; Boqing Gong (CVPR, 2021)

Spatiotemporal Contrastive Video Representation Learning. - Rui Qian; Tianjian Meng; Boqing Gong; Ming-Hsuan Yang 001; Huisheng Wang; Serge J. Belongie; Yin Cui (CVPR, 2021)

Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. - Li Yi 001; Boqing Gong; Thomas A. Funkhouser (CVPR, 2021)

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. - Arjun R. Akula; Soravit Changpinyo; Boqing Gong; Piyush Sharma; Song-Chun Zhu; Radu Soricut (EMNLP (1), 2021)

A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. - Muhammad Abdullah Jamal; Liqiang Wang 001; Boqing Gong (ICCV, 2021)

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. - Cheng Zhang 014; Tai-Yu Pan; Yandong Li; Hexiang Hu; Dong Xuan; Soravit Changpinyo; Boqing Gong; Wei-Lun Chao (ICCV, 2021)

Contrastive Learning for Label Efficient Semantic Segmentation. - Xiangyun Zhao; Raviteja Vemulapalli; Philip Andrew Mansfield; Boqing Gong; Bradley Green; Lior Shapira; Ying Wu 001 (ICCV, 2021)

Large-Scale Meta-Learning with Continual Trajectory Shifting. - Jaewoong Shin; Haebeom Lee; Boqing Gong; Sung Ju Hwang (ICML, 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 (NeurIPS, 2021)

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. - Tai-Yu Pan; Cheng Zhang 014; Yandong Li; Hexiang Hu; Dong Xuan; Soravit Changpinyo; Boqing Gong; Wei-Lun Chao (NeurIPS, 2021)

Analyzing Deep Neural Network's Transferability via Fréchet Distance. - Yifan Ding; Liqiang Wang 001; Boqing Gong (WACV, 2021)

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. - Cheng Zhang 014; Tai-Yu Pan; Yandong Li; Hexiang Hu; Dong Xuan; Soravit Changpinyo; Boqing Gong; Wei-Lun Chao (CoRR, 2021)

When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. - Xiangning Chen; Cho-Jui Hsieh; Boqing Gong (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)

Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training. - Zihang Zou; Boqing Gong; Liqiang Wang 001 (CoRR, 2021)

Exploring Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (CoRR, 2021)

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. - Qing Li 001; Boqing Gong; Yin Cui; Dan Kondratyuk; Xianzhi Du; Ming-Hsuan Yang 001; Matthew Brown 001 (CoRR, 2021)

On Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (BMVC, 2022)

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. - Amil Dravid; Florian Schiffers; Boqing Gong; Aggelos K. Katsaggelos (CVPR Workshops, 2022)

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. - Liangzhe Yuan; Rui Qian; Yin Cui; Boqing Gong; Florian Schroff; Ming-Hsuan Yang 001; Hartwig Adam; Ting Liu 005 (CVPR, 2022)

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. - Minghua Liu; Yin Zhou; Charles R. Qi; Boqing Gong; Hao Su 001; Dragomir Anguelov (ECCV (39), 2022)

Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks. - Zihang Zou; Boqing Gong; Liqiang Wang 001 (ECCV (13), 2022)

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations. - Xiangning Chen; Cho-Jui Hsieh; Boqing Gong (ICLR, 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 005 (ICLR, 2022)

Federated Multi-Target Domain Adaptation. - Chun-Han Yao; Boqing Gong; Hang Qi; Yin Cui; Yukun Zhu; Ming-Hsuan Yang 001 (WACV, 2022)

On Calibrating Semantic Segmentation Models: Analysis and An Algorithm. - Dongdong Wang; Boqing Gong; Liqiang Wang 001 (CoRR, 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 001; Ming-Hsuan Yang 001; Boqing Gong (Comput. Vis. Image Underst., 2022)

On Calibrating Semantic Segmentation Models: Analyses and An Algorithm. - Dongdong Wang; Boqing Gong; Liqiang Wang 001 (CVPR, 2023)

Unified Visual Relationship Detection with Vision and Language Models. - Long Zhao 003; Liangzhe Yuan; Boqing Gong; Yin Cui; Florian Schroff; Ming-Hsuan Yang 001; Hartwig Adam; Ting Liu 005 (ICCV, 2023)

Module-wise Adaptive Distillation for Multimodality Foundation Models. - Chen Liang 006; Jiahui Yu; Ming-Hsuan Yang 001; Matthew Brown 001; Yin Cui; Tuo Zhao; Boqing Gong; Tianyi Zhou 002 (NeurIPS, 2023)

Video Timeline Modeling For News Story Understanding. - Meng Liu 015; Mingda Zhang; Jialu Liu; Hanjun Dai; Ming-Hsuan Yang 001; Shuiwang Ji; Zheyun Feng; Boqing Gong (NeurIPS, 2023)

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. - Yuanhao Xiong; Long Zhao 003; Boqing Gong; Ming-Hsuan Yang 001; Florian Schroff; Ting Liu 005; Cho-Jui Hsieh; Liangzhe Yuan (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)

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation. - Zheyuan Zhang; Bin Wang 068; Lanhong Yao; Ugur Demir; Debesh Jha; Ismail Baris Turkbey; Boqing Gong; Ulas Bagci (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)

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 003 (CoRR, 2023)

Multi-modal Domain Adaptation for REG via Relation Transfer. - Yifan Ding; Liqiang Wang 001; Boqing Gong (CoRR, 2023)

Towards A Unified Neural Architecture for Visual Recognition and Reasoning. - Calvin Luo; Boqing Gong; Ting Chen; Chen Sun 002 (CoRR, 2023)

Distilling Vision-Language Models on Millions of Videos. - Yue Zhao 006; Long Zhao 003; Xingyi Zhou; Jialin Wu; Chun-Te Chu; Hui Miao; Florian Schroff; Hartwig Adam; Ting Liu 005; Boqing Gong; Philipp Krähenbühl; Liangzhe Yuan (CVPR, 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 (CVPR, 2024)

Understanding the Impact of Negative Prompts: When and How Do They Take Effect? - Yuanhao Ban; Ruochen Wang; Tianyi Zhou 001; Minhao Cheng; Boqing Gong; Cho-Jui Hsieh (ECCV (89), 2024)

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. - Yuanhao Xiong; Long Zhao 003; Boqing Gong; Ming-Hsuan Yang 001; Florian Schroff; Ting Liu 005; Cho-Jui Hsieh; Liangzhe Yuan (ICLR, 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 001; et al. (ICLR, 2024)

VideoPrism: A Foundational Visual Encoder for Video Understanding. - Long Zhao 003; Nitesh Bharadwaj Gundavarapu; Liangzhe Yuan; Hao Zhou 014; Shen Yan; Jennifer J. Sun; Luke Friedman; Rui Qian; Tobias Weyand; Yue Zhao 006; Rachel Hornung; Florian Schroff; et al. (ICML, 2024)

On Discrete Prompt Optimization for Diffusion Models. - Ruochen Wang; Ting Liu 005; Cho-Jui Hsieh; Boqing Gong (ICML, 2024)

Extending Video Masked Autoencoders to 128 frames. - Nitesh Bharadwaj Gundavarapu; Luke Friedman; Raghav Goyal; Chaitra Hegde; Eirikur Agustsson; Sagar Waghmare; Mikhail Sirotenko; Ming-Hsuan Yang 001; Tobias Weyand; Boqing Gong; Leonid Sigal (NeurIPS, 2024)

Automatic Jailbreaking of the Text-to-Image Generative AI Systems. - Minseon Kim; Hyomin Lee; Boqing Gong; Huishuai Zhang; Sung Ju Hwang (CoRR, 2024)

SOAR: Self-supervision Optimized UAV Action Recognition with Efficient Object-Aware Pretraining. - Ruiqi Xian; Xiyang Wu; Tianrui Guan; Xijun Wang 002; Boqing Gong; Dinesh Manocha (CoRR, 2024)

ε-VAE: Denoising as Visual Decoding. - Long Zhao 003; Sanghyun Woo; Ziyu Wan; Yandong Li; Han Zhang 010; Boqing Gong; Hartwig Adam; Xuhui Jia; Ting Liu 005 (CoRR, 2024)

Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space. - Lingxiao Li; Kaixuan Fan; Boqing Gong; Xiangyu Yue 001 (CoRR, 2024)

Neptune: The Long Orbit to Benchmarking Long Video Understanding. - Arsha Nagrani; Mingda Zhang; Ramin Mehran; Rachel Hornung; Nitesh Bharadwaj Gundavarapu; Nilpa Jha; Austin Myers; Xingyi Zhou; Boqing Gong; Cordelia Schmid; Mikhail Sirotenko; Yukun Zhu; et al. (CoRR, 2024)

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments. - Xijun Wang 002; Pedro Sandoval Segura; Chengyuan Zhang; Junyun Huang; Tianrui Guan; Ruiqi Xian; Fuxiao Liu; Rohan Chandra; Boqing Gong; Dinesh Manocha (CoRR, 2024)

VideoGLUE: Video General Understanding Evaluation of Foundation Models. - Liangzhe Yuan; Nitesh Bharadwaj Gundavarapu; Long Zhao 003; Hao Zhou 014; Yin Cui; Lu Jiang 004; Xuan Yang; Menglin Jia; Tobias Weyand; Luke Friedman; Mikhail Sirotenko; Huisheng Wang; et al. (Trans. Mach. Learn. Res., 2024)

Open Long-Tailed Recognition in a Dynamic World. - Ziwei Liu 002; Zhongqi Miao; Xiaohang Zhan; Jiayun Wang; Boqing Gong; Stella X. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. - Yuanhao Ban; Ruochen Wang; Tianyi Zhou 001; Boqing Gong; Cho-Jui Hsieh; Minhao Cheng (ICLR, 2025)

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 001; Heng Huang; Ming-Hsuan Yang 001; Boqing Gong (ICLR, 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 068; Ilkin Sevgi Isler; et al. (Medical Image Anal., 2025)

VideoAds for Fast-Paced Video Understanding: Where Opensource Foundation Models Beat GPT-4o & Gemini-1.5 Pro. - Zheyuan Zhang; Monica Dou; Linkai Peng; Hongyi Pan; Ulas Bagci; Boqing Gong (CoRR, 2025)

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning. - Shengao Wang; Arjun Chandra; Aoming Liu; Venkatesh Saligrama; Boqing Gong (CoRR, 2025)

SITE: towards Spatial Intelligence Thorough Evaluation. - Wenqi Wang 003; Reuben Tan; Pengyue Zhu; Jianwei Yang; Zhengyuan Yang; Lijuan Wang; Andrey Kolobov; Jianfeng Gao 001; Boqing Gong (CoRR, 2025)

Vision LLMs Are Bad at Hierarchical Visual Understanding, and LLMs Are the Bottleneck. - Yuwen Tan; Yuan Qing; Boqing Gong (CoRR, 2025)

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models. - Yuwen Tan; Boqing Gong (CoRR, 2025)

Beyond Token Pruning: Operation Pruning in Vision-Language Models. - Aoming Liu; Reuben Tan; Boqing Gong; Bryan A. Plummer (CoRR, 2025)