Huang, Jonathan

32 publications

ICCV 2025 Principles of Visual Tokens for Efficient Video Understanding Xinyue Hao, Gen Li, Shreyank N Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara

ICLR 2025 Representation Alignment for Generation: Training Diffusion Transformers Is Easier than You Think Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie

ICLR 2025 Visually Consistent Hierarchical Image Classification Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang

ECCV 2024 Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition Shreyank N Gowda, Anurag Arnab, Jonathan Huang

ECCV 2024 Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors Jae Joong Lee, Bosheng Li, Sara M Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes

ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A Ross, Bryan Seybold, Lu Jiang

NeurIPS 2023 DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross

WACV 2022 PERF-Net: Pose Empowered RGB-Flow Net Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang

CVPR 2022 The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang

ICCV 2021 The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang

CVPRW 2019 Uncertainty Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang

ICLR 2018 Generative Models of Visually Grounded Imagination Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy

ECCV 2018 Learning to Segment via Cut-and-Paste Tal Remez, Jonathan Huang, Matthew Brown

ECCV 2018 Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

ECCV 2018 Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-Offs in Video Classification Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy

CVPR 2017 Spatially Adaptive Computation Time for Residual Networks Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, Ruslan Salakhutdinov

CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

CVPR 2016 Detecting Events and Key Actors in Multi-Person Videos Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

CVPR 2016 Generation and Comprehension of Unambiguous Object Descriptions Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy

NeurIPS 2015 Deep Knowledge Tracing Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas Guibas, Jascha Sohl-Dickstein

ICCV 2015 Im2Calories: Towards an Automated Mobile Vision Food Diary Austin Meyers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P. Murphy

ICML 2015 Learning Program Embeddings to Propagate Feedback on Student Code Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas Guibas

NeurIPS 2012 Probabilistic Event Cascades for Alzheimer's Disease Jonathan Huang, Daniel Alexander

JAIR 2012 Riffled Independence for Efficient Inference with Partial Rankings Jonathan Huang, Ashish Kapoor, Carlos Guestrin

UAI 2011 Efficient Probabilistic Inference with Partial Ranking Queries Jonathan Huang, Ashish Kapoor, Carlos Guestrin

ECML-PKDD 2011 Fourier-Information Duality in the Identity Management Problem Xiaoye Jiang, Jonathan Huang, Leonidas J. Guibas

ICML 2010 Learning Hierarchical Riffle Independent Groupings from Rankings Jonathan Huang, Carlos Guestrin

AISTATS 2009 Exploiting Probabilistic Independence for Permutations Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas Guibas

JMLR 2009 Fourier Theoretic Probabilistic Inference over Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas

ICML 2009 Hilbert Space Embeddings of Conditional Distributions with Applications to Dynamical Systems Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu

NeurIPS 2009 Riffled Independence for Ranked Data Jonathan Huang, Carlos Guestrin

NeurIPS 2007 Efficient Inference for Distributions on Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas