Publications

Our publications provide insight into some of our leading-edge research.

Filters

Filters

Publication Year

Research Areas

Events

  • 98 results found

2024

Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition
Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, yen-ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Shinji Watanabe, Andreas Stolcke
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Frank Wang, Min-Hung Chen, Shao-Hua Sun
Fast Encoder-Based 3D from Casual Videos via Point Track Processing
Yoni Kasten, Wuyue Lu, Haggai Maron
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
Yuchen Hu, Chen Chen, Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting
Chen Tessler, Kelly Guo, Ofir Nabati, Gal Chechik, Jason Peng
Large Étendue 3D Holographic Display with Content-adpative Dynamic Fourier Modulation
Brian Chao, Manu Gopakumar, Suyeon Choi, Liang Shi, Jonghyun Kim, Gordon Wetzstein
SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging
Ziyang Chen, Doğa Doğan, Josef Spjut, Kaan Akşit
Honorable Mention
DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent
Chen-Chia Chang, Chia-Tung (Mark) Ho, Yaguang Li, Yiran Chen, Haoxing (Mark) Ren
Appearance Modeling of Iridescent Feathers with Diverse Nanostructures
Yunchen Yu, Andrea Weidlich, Bruce Walter, Eugene d'Eon, Steve Marschner
SIGGRAPH Asia 2024 Best Paper Award
scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation
Clemens Eppner, Adithya Murali, Caelan Garrett, Rowland O'Flaherty, Tucker Hermans, Wei Yang, Dieter Fox
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities
Siyin Wang, Huck Yang, Ji Wu, Chao Zhang
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
Yusuke Hirota, Ryo Hachiuma, Huck Yang, Yuta Nakashima
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model
Yichen Lu, Jiaqi Song, Huck Yang, Shinji Watanabe
Differentiable GPU-Parallelized Task and Motion Planning
William Shen, Caelan Garrett, Ankit Goyal, Tucker Hermans, Fabio Ramos
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
Zihan Zhou, Animesh Garg, Dieter Fox, Caelan Garrett, Ajay Mandlekar
SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
Caelan Garrett, Ajay Mandlekar, Bowen Wen, Dieter Fox
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
Shuo Cheng, Caelan Garrett, Ajay Mandlekar, Danfei Xu
Reconstructing Translucent Thin Objects from Photos
Xi Deng, Lifan Wu, Bruce Walter, Eugene d'Eon, Ravi Ramamoorthi, Steve Marschner, Andrea Weidlich
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation
Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints
Nishanth Kumar, Fabio Ramos, Dieter Fox, Caelan Garrett
Guiding Long-Horizon Task and Motion Planning with Vision Language Models
Zhutian Yang, Caelan Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Constructability-driven design of frame structures with state-space search methods
Yijiang Huang, Caelan Garrett, Caitlin Mueller
Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
Xiaolin Fang, Caelan Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Best Conference Paper Finalist
Best Student Paper Finalist
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
Learning to Move Like Professional Counter-Strike Players
David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian
Conformer without Convolutions
Matthijs Van keirsbilck, Alex Keller
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Alexander Popov, Alperen Degirmenci, David Wehr, Shashank Hegde , Ryan Oldja, Alexey Kamenev, Bertrand Douillard, David Nistér, Urs Muller, Ruchi Bhargava, Stan Birchfield, Nikolai Smolyanskiy
LLM Pruning and Distillation in Practice: The Minitron Approach
Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah Brenowitz, Dale Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, Mike Pritchard
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool
Chia-Tung (Mark) Ho, Haoxing (Mark) Ren, Brucek Khailany