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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
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New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
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(33)
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(28)
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(18)
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(33)
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(22)
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(27)
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(6)
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(3)
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Artificial Intelligence and Machine Learning
(28)
Computer Vision
(28)
Autonomous Vehicles
(9)
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(7)
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(4)
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(2)
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(3)
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28 results found
Artificial Intelligence and Machine Learning
Computer Vision
Clear all
2022
Artificial Intelligence and Machine Learning
Computer Vision
2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
Alec Farid,
Sushant Veer
,
Boris Ivanovic
,
Karen Leung
,
Marco Pavone
CORL
Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao
,
Danfei Xu
,
Xinshuo Weng
, Z. Morely Mao, Anima Anandkumar,
Chaowei Xiao
,
Marco Pavone
CORL
Selected for Oral Presentation
Motion Policy Networks
Adam Fishman,
Adithya Murali
,
Clemens Eppner
, Bryan Peele, Byron Boots,
Dieter Fox
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen,
Rinon Gal
,
Eli Meirom
,
Gal Chechik
,
Yuval Atzmon
ECCV
Paraphrasing Is All You Need for Novel Object Captioning
Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency,
Frank Wang
NeurIPS
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Sheng-Yu Huang, Hao-Yu Hsu,
Yu-Chiang Frank Wang
NeurIPS
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
NeurIPS
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Adrien Gaidon,
Marco Pavone
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao
,
Chaowei Xiao
, Anima Anandkumar,
Danfei Xu
,
Marco Pavone
ECCV
LANA: Latency Aware Network Acceleration
Pavlo Molchanov
, Jimmy Hall,
Hongxu Danny Yin
,
Jan Kautz
, Nicolo Fusi,
Arash Vahdat
ECCV
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
, Yuval Alaluf,
Yuval Atzmon
, Or Patashnik, Amit H. Bermano,
Gal Chechik
, Daniel Cohen-Or
ICLR
Top 25%
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
, Alex Evans, Christoph Schied,
Alex Keller
SIGGRAPH
Best Technical Paper, SIGGRAPH 2022
THE BEST INVENTIONS OF 2022, TIME
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction
Xinshuo Weng
,
Boris Ivanovic
, Kris Kitani,
Marco Pavone
CVPR
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen
,
Boris Ivanovic
,
Marco Pavone
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Seung Wook Kim,
Karsten Kreis
, Daiqing Li, Antonio Torralba, Sanja Fidler
CVPR
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu,
Shalini De Mello
,
Sifei Liu
,
Wonmin Byeon
,
Thomas Breuel
,
Jan Kautz
, Xiaolong Wang
CVPR
FreeSOLO: Learning to Segment Objects without Annotations
Xinlong Wang,
Zhiding Yu
,
Shalini De Mello
,
Jan Kautz
, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez
Efficient Geometry-aware 3D Generative Adversarial Networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan,
Koki Nagano
, Boxiao Pan,
Shalini De Mello
,
Orazio Gallo
, Leonidas Guibas,
Jonathan Tremblay
, Sameh Khamis,
Tero Karras
, Gordon Wetzstein
Oral
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Daiqing Li, Huan Ling, Seung Wook Kim,
Karsten Kreis
, Adela Barriuso, Sanja Fidler, Antonio Torralba
CVPR
Injecting Planning-Awareness into Prediction and Detection Evaluation
Boris Ivanovic
,
Marco Pavone
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
Xinshuo Weng
,
Boris Ivanovic
,
Marco Pavone
Propagating State Uncertainty Through Trajectory Forecasting
Boris Ivanovic
, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty,
Marco Pavone
ICRA
A Dataset and Explorer for 3D Signed Distance Functions
Towaki Takikawa, Andrew Glassner, Morgan McGuire
Neural Fields in Visual Computing and Beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen,
Rinon Gal
,
Gal Chechik
,
Yuval Atzmon
ECCV
Oral
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
ICLR
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao,
Karsten Kreis
,
Arash Vahdat
ICLR