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2020 – today
- 2024
- [c162]Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan:
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. AAAI 2024: 1254-1262 - [c161]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c160]Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu:
Multi-Agent Alternate Q-Learning. AAMAS 2024: 1791-1799 - [c159]Phuc D. A. Nguyen, Tuan Duc Ngo, Evangelos Kalogerakis, Chuang Gan, Anh Tuan Tran, Cuong Pham, Khoi Nguyen:
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance. CVPR 2024: 4018-4028 - [c158]Andong Wang, Bo Wu, Sunli Chen, Zhenfang Chen, Haotian Guan, Wei-Ning Lee, Li Erran Li, Chuang Gan:
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. CVPR 2024: 13384-13394 - [c157]Zeyuan Yang, Jiageng Lin, Peihao Chen, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan:
RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation. CVPR 2024: 16251-16261 - [c156]Yining Hong, Zishuo Zheng, Peihao Chen, Yian Wang, Junyan Li, Chuang Gan:
MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World. CVPR 2024: 26396-26406 - [c155]Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan:
FlexAttention for Efficient High-Resolution Vision-Language Models. ECCV (25) 2024: 286-302 - [c154]Zhenfang Chen, Rui Sun, Wenjun Liu, Yining Hong, Chuang Gan:
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules. ICLR 2024 - [c153]Junyan Li, Delin Chen, Yining Hong, Zhenfang Chen, Peihao Chen, Yikang Shen, Chuang Gan:
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding. ICLR 2024 - [c152]Zilin Si, Gu Zhang, Qingwei Ben, Branden Romero, Zhou Xian, Chao Liu, Chuang Gan:
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation. ICLR 2024 - [c151]Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan:
SALMON: Self-Alignment with Instructable Reward Models. ICLR 2024 - [c150]Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan:
Thin-Shell Object Manipulations With Differentiable Physics Simulations. ICLR 2024 - [c149]Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. ICLR 2024 - [c148]Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan:
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. ICLR 2024 - [c147]Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang:
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. ICML 2024 - [c146]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. ICML 2024 - [c145]Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan:
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. ICML 2024 - [c144]Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, Chuang Gan:
3D-VLA: A 3D Vision-Language-Action Generative World Model. ICML 2024 - [c143]Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan:
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. ICML 2024 - [c142]Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan:
RoboDreamer: Learning Compositional World Models for Robot Imagination. ICML 2024 - [c141]Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA 2024: 5021-5028 - [c140]Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han:
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. MLSys 2024 - [i171]Yining Hong, Zishuo Zheng, Peihao Chen, Yian Wang, Junyan Li, Chuang Gan:
MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World. CoRR abs/2401.08577 (2024) - [i170]Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan:
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. CoRR abs/2401.12975 (2024) - [i169]Shun Zhang, Zhenfang Chen, Sunli Chen, Yikang Shen, Zhiqing Sun, Chuang Gan:
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble. CoRR abs/2401.16635 (2024) - [i168]Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan:
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. CoRR abs/2402.06119 (2024) - [i167]Zilin Si, Gu Zhang, Qingwei Ben, Branden Romero, Zhou Xian, Chao Liu, Chuang Gan:
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation. CoRR abs/2403.08716 (2024) - [i166]Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan:
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR abs/2403.09472 (2024) - [i165]Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, Chuang Gan:
3D-VLA: A 3D Vision-Language-Action Generative World Model. CoRR abs/2403.09631 (2024) - [i164]Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan:
Thin-Shell Object Manipulations With Differentiable Physics Simulations. CoRR abs/2404.00451 (2024) - [i163]Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan:
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. CoRR abs/2404.10775 (2024) - [i162]Rachel Chen, Juheon Lee, Chuang Gan, Zijiang Yang, Mohammad Amin Nabian, Jun Zeng:
Virtual Foundry Graphnet for Metal Sintering Deformation Prediction. CoRR abs/2404.11753 (2024) - [i161]Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan:
RoboDreamer: Learning Compositional World Models for Robot Imagination. CoRR abs/2404.12377 (2024) - [i160]Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han:
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. CoRR abs/2405.04532 (2024) - [i159]Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
STAR: A Benchmark for Situated Reasoning in Real-World Videos. CoRR abs/2405.09711 (2024) - [i158]Andong Wang, Bo Wu, Sunli Chen, Zhenfang Chen, Haotian Guan, Wei-Ning Lee, Li Erran Li, Chuang Gan:
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. CoRR abs/2405.09713 (2024) - [i157]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR abs/2405.09783 (2024) - [i156]Jiaben Chen, Xin Yan, Yihang Chen, Siyuan Cen, Qinwei Ma, Haoyu Zhen, Kaizhi Qian, Lie Lu, Chuang Gan:
RapVerse: Coherent Vocals and Whole-Body Motions Generations from Text. CoRR abs/2405.20336 (2024) - [i155]Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik:
Physically Compatible 3D Object Modeling from a Single Image. CoRR abs/2405.20510 (2024) - [i154]Changhao Li, Xinyu Sun, Peihao Chen, Jugang Fan, Zixu Wang, Yanxia Liu, Jin-Hui Zhu, Chuang Gan, Mingkui Tan:
CoNav: A Benchmark for Human-Centered Collaborative Navigation. CoRR abs/2406.02425 (2024) - [i153]Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky:
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR abs/2406.08164 (2024) - [i152]Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan:
Disentangled Acoustic Fields For Multimodal Physical Scene Understanding. CoRR abs/2407.11333 (2024) - [i151]Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan:
FlexAttention for Efficient High-Resolution Vision-Language Models. CoRR abs/2407.20228 (2024) - [i150]Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2408.02687 (2024) - [i149]Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan:
UniMuMo: Unified Text, Music and Motion Generation. CoRR abs/2410.04534 (2024) - [i148]Wanhua Li, Zibin Meng, Jiawei Zhou, Donglai Wei, Chuang Gan, Hanspeter Pfister:
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization. CoRR abs/2410.21411 (2024) - [i147]Tuan Duc Ngo, Peiye Zhuang, Chuang Gan, Evangelos Kalogerakis, Sergey Tulyakov, Hsin-Ying Lee, Chaoyang Wang:
DELTA: Dense Efficient Long-range 3D Tracking for any video. CoRR abs/2410.24211 (2024) - 2023
- [j16]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised audiovisual representation learning for remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 116: 103130 (2023) - [j15]Hongchang Wang, Huaxiang Lu, Huimin Guo, Haifang Jian, Chuang Gan, Wu Liu:
Bird-Count: a multi-modality benchmark and system for bird population counting in the wild. Multim. Tools Appl. 82(29): 45293-45315 (2023) - [j14]Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda:
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7820-7835 (2023) - [c139]Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan:
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) 2023: 11226-11238 - [c138]Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan:
Masked Motion Encoding for Self-Supervised Video Representation Learning. CVPR 2023: 2235-2245 - [c137]Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan:
EC2: Emergent Communication for Embodied Control. CVPR 2023: 6704-6714 - [c136]Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Learning and Reasoning from Multi-View Images. CVPR 2023: 9202-9212 - [c135]Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR 2023: 9749-9759 - [c134]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR 2023: 11828-11837 - [c133]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR 2023: 14528-14539 - [c132]Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Learning Situation Hyper-Graphs for Video Question Answering. CVPR 2023: 14879-14889 - [c131]Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan:
Sparse Universal Transformer. EMNLP 2023: 169-179 - [c130]Chuang Gan, Yuchong Hu, Leyan Zhao, Xin Zhao, Pengyu Gong, Wenhao Zhang, Lin Wang, Dan Feng:
Enabling Encrypted Delta Compression for Outsourced Storage Systems via Preserving Similarity. ICCD 2023: 231-238 - [c129]Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan:
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. ICCV 2023: 2827-2838 - [c128]Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Vision-and-Language Navigation from YouTube Videos. ICCV 2023: 8283-8292 - [c127]Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han:
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction. ICCV 2023: 17256-17267 - [c126]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. ICLR 2023 - [c125]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR 2023 - [c124]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR 2023 - [c123]Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. ICLR 2023 - [c122]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. ICLR 2023 - [c121]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. ICLR 2023 - [c120]Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su:
Reparameterized Policy Learning for Multimodal Trajectory Optimization. ICML 2023: 13957-13975 - [c119]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. ICML 2023: 23279-23300 - [c118]Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus:
On the Forward Invariance of Neural ODEs. ICML 2023: 38100-38124 - [c117]Peng Gao, Qingzhao Zhu, Hongsheng Lu, Chuang Gan, Hao Zhang:
Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception. ICRA 2023: 6117-6123 - [c116]Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han:
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO 2023: 1381-1394 - [c115]Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, Chuang Gan:
3D-LLM: Injecting the 3D World into Large Language Models. NeurIPS 2023 - [c114]Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan:
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. NeurIPS 2023 - [c113]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. NeurIPS 2023 - [c112]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS 2023 - [c111]Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. NeurIPS 2023 - [c110]Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan:
Adaptive Online Replanning with Diffusion Models. NeurIPS 2023 - [c109]Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song:
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. Robotics: Science and Systems 2023 - [c108]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
ClawSAT: Towards Both Robust and Accurate Code Models. SANER 2023: 212-223 - [i146]Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Hao Zhang, Chuang Gan:
See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning. CoRR abs/2301.05226 (2023) - [i145]Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song:
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. CoRR abs/2302.11553 (2023) - [i144]Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. CoRR abs/2303.02346 (2023) - [i143]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. CoRR abs/2303.05510 (2023) - [i142]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR abs/2303.05512 (2023) - [i141]Peng Gao, Qingzhao Zhu, Hongsheng Lu, Chuang Gan, Hao Zhang:
Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception. CoRR abs/2303.07555 (2023) - [i140]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR abs/2303.09555 (2023) - [i139]Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Learning and Reasoning from Multi-View Images. CoRR abs/2303.11327 (2023) - [i138]Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR abs/2303.16897 (2023) - [i137]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. CoRR abs/2304.03223 (2023) - [i136]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i135]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRR abs/2304.03767 (2023) - [i134]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. CoRR abs/2304.08487 (2023) - [i133]Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Learning Situation Hyper-Graphs for Video Question Answering. CoRR abs/2304.08682 (2023) - [i132]Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan:
EC^2: Emergent Communication for Embodied Control. CoRR abs/2304.09448 (2023) - [i131]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics. CoRR abs/2304.14369 (2023) - [i130]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. CoRR abs/2305.03047 (2023) - [i129]Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus:
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. CoRR abs/2306.00148 (2023) - [i128]Yikang Shen, Zheyu Zhang, Tianyou Cao, Shawn Tan, Zhenfang Chen, Chuang Gan:
ModuleFormer: Learning Modular Large Language Models From Uncurated Data. CoRR abs/2306.04640 (2023) - [i127]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. CoRR abs/2306.15668 (2023) - [i126]Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan:
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR abs/2306.17165 (2023) - [i125]Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. CoRR abs/2307.02485 (2023) - [i124]Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su:
Reparameterized Policy Learning for Multimodal Trajectory Optimization. CoRR abs/2307.10710 (2023) - [i123]Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Vision-and-Language Navigation from YouTube Videos. CoRR abs/2307.11984 (2023) - [i122]Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, Chuang Gan:
3D-LLM: Injecting the 3D World into Large Language Models. CoRR abs/2307.12981 (2023) - [i121]