Zhang, Ning

41 publications

CVPR 2025 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu

CVPR 2025 Apollo: An Exploration of Video Understanding in Large Multimodal Models Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia

CVPR 2025 Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu

NeurIPS 2025 DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents Hao Li, Xiaogeng Liu, CHIU Hung Chun, Dianqi Li, Ning Zhang, Chaowei Xiao

CVPRW 2025 Event-Based Tracking and Imaging of Randomly Moving Objects in Dense Dynamical Scattering Media Ning Zhang, Timothy Shea, Arto V. Nurmikko

NeurIPS 2025 On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong

NeurIPS 2025 ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation Jiuhong Xiao, Roshan Nayak, Ning Zhang, Daniel Toertei, Giuseppe Loianno

CVPR 2025 Unleashing In-Context Learning of Autoregressive Models for Few-Shot Image Manipulation Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao

CVPR 2024 Bidirectional Autoregessive Diffusion Model for Dance Generation Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang

ECCVW 2024 Coarse-to-Fine Human Mesh Recovery with Transformers Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava

CVPR 2024 Deep Video Inverse Tone Mapping Based on Temporal Clues Yuyao Ye, Ning Zhang, Yang Zhao, Hongbin Cao, Ronggang Wang

CVPR 2024 DiffMOT: A Real-Time Diffusion-Based Multiple Object Tracker with Non-Linear Prediction Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng

AAAI 2024 M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin

ICML 2024 Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang

NeurIPS 2024 SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li, Feng Yu, Ning Zhang, Xiang Meng, Weiqing Huang

ICML 2023 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao

CVPR 2023 Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation Ning Zhang, Francesco Nex, George Vosselman, Norman Kerle

CVPR 2023 RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts Han Liu, Yuhao Wu, Shixuan Zhai, Bo Yuan, Ning Zhang

CVPR 2023 Revisiting the Stack-Based Inverse Tone Mapping Ning Zhang, Yuyao Ye, Yang Zhao, Ronggang Wang

CVPR 2023 SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang

CVPR 2023 Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell

NeurIPS 2022 Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li

WACV 2022 PROVES: Establishing Image Provenance Using Semantic Signatures Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik

CVPR 2022 Unsupervised Vision-and-Language Pre-Training via Retrieval-Based Multi-Granular Alignment Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang

CVPR 2021 Connecting What to Say with Where to Look by Modeling Human Attention Traces Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman

AAAI 2020 Context-Aware Zero-Shot Recognition Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang

AAAI 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik

ECCV 2020 Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model Ning Zhang, Junchi Yan

ECCV 2018 Multi-View to Novel View: Synthesizing Novel Views with Self-Learned Confidence Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim

IJCAI 2018 Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning Ning Zhang, Junchi Yan, Yuchen Zhou

CVPR 2017 Deep Reinforcement Learning-Based Image Captioning with Embedding Reward Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li

CVPR 2016 Compact Bilinear Pooling Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

CVPR 2015 Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir Bourdev

ICML 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

NeurIPS 2014 Do Convnets Learn Correspondence? Jonathan L Long, Ning Zhang, Trevor Darrell

CVPR 2014 PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev

ECCV 2014 Part-Based R-CNNs for Fine-Grained Category Detection Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell

ICCV 2013 Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction Ning Zhang, Ryan Farrell, Forrest Iandola, Trevor Darrell

CVPR 2012 Pose Pooling Kernels for Sub-Category Recognition Ning Zhang, Ryan Farrell, Trevor Darrell

AAAI 2012 Time-Critical Influence Maximization in Social Networks with Time-Delayed Diffusion Process Wei Chen, Wei Lu, Ning Zhang

ICCV 2011 Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis