Publications

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

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  • 232 results found

2024

Novel Transformer Model Based Clustering Method for Standard Cell Design Automation
Chia-Tung (Mark) Ho, Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li, Haoxing (Mark) Ren
Best Paper Award
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner
Rongjian Liang, Anthony Agnesina, Haoxing (Mark) Ren
GPU/ML-Enhanced Large Scale Global Routing Contest
Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing (Mark) Ren
Consolidating Attention Features for Multi-view Image Editing
Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre
Evaluating and Improving Rendered Visual Experiences: Metrics, Compression, Higher Frame Rates & Recoloring
Pontus Ebelin
ConsiStory: Training-Free Consistent Text-to-Image Generation
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Yuanxing Duan, Fangyin Wei, Qiyu Dai, Yuhang He, Wenzheng Chen, Baoquan Chen
Estimates of Temporal Edge Detection Filters in Human Vision
Pontus Ebelin, Gyorgy Denes, Tomas Akenine-Möller, Kalle Åström, Magnus Oskarsson, William H. McIlhagga
Interactive Texture Painting with Generative AI
Anita Hu, Nishkrit Desai, Ashley Goldstein, Hassan Abu Alhaija, Seung Wook Kim, Daniela Hasenbring, Alex Zook, Rajeev Rao, Maria Shugrina
Quantum computing with subwavelength atomic arrays
Freya Shah, Taylor Patti, Oriol Rubies-Bigorda, Susanne F. Yelin
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition
Aleksandr Laptev, Boris Ginsburg
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas Guibas, Lin Gao
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

2019

Few-Shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
Dance to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang
Instant Quantization of neural networks using Monte Carlo Methods
Gonçalo Mordido, Matthijs Van keirsbilck, Alex Keller
Joint Optimization for Cooperative Image Captioning
Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik
Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
Legate NumPy: Accelerated and Distributed Array Computing
Michael Bauer, Michael Garland
Latency of 30 ms Benefits First Person Targeting Tasks More Than Refresh Rate Above 60 Hz
Josef Spjut, Ben Boudaoud, Kamran Binaee, Jonghyun Kim, Zander Majercik, Morgan McGuire, David Luebke, Joohwan Kim
MAGNet: A Modular Accelerator Generator for Neural Networks
Rangharajan Venkatesan, Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William Dally, Joel Emer, Steve Keckler, Brucek Khailany
Content-Consistent Generation of Realistic Eyes with Style
Marcel Bühler , Seonwook Park, Shalini De Mello, Xucong, Otmar Hilliges
Winner (1st place) Synthetic Eye Generation Challenge
Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs
Yannan Nellie Wu, Joel Emer, Vivienne Sze
Highly-scalable, Physics-informed GANs for Learning Solutions of Stochastic PDEs
Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis
Neural Inverse Rendering of an Indoor Scene from a Single Image
Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz
Few-Shot Adaptive Gaze Estimation
Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz
Oral
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wong, Xiaodong Yang
SENSE: A Shared Encoder Network for Scene-flow Estimation
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian, Clemens Eppner, Dieter Fox