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05/04/2023
Tracking through Containers and Occluders in the Wild
Tracking objects with persistence in cluttered and dynamic environments ...
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10/05/2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization
The imitation learning of self-driving vehicle policies through behavior...
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08/07/2022
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Egocentric videos offer fine-grained information for high-fidelity model...
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07/20/2022
Learning Latent Traits for Simulated Cooperative Driving Tasks
To construct effective teaming strategies between humans and AI systems ...
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06/17/2022
Shadows Shed Light on 3D Objects
3D reconstruction is a fundamental problem in computer vision, and the t...
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04/22/2022
Revealing Occlusions with 4D Neural Fields
For computer vision systems to operate in dynamic situations, they need ...
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11/18/2021
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
The ability to reliably estimate physiological signals from video is a p...
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10/16/2021
MAAD: A Model and Dataset for "Attended Awareness" in Driving
We propose a computational model to estimate a person's attended awarene...
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08/26/2021
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Computer vision tasks such as object detection and semantic/instance seg...
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10/22/2019
Gaze360: Physically Unconstrained Gaze Estimation in the Wild
Understanding where people are looking is an informative social cue. In ...
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09/10/2018
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
We introduce a saliency-based distortion layer for convolutional neural ...
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02/25/2018
A Dataset To Evaluate The Representations Learned By Video Prediction Models
We present a parameterized synthetic dataset called Moving Symbols to su...
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07/25/2016
gvnn: Neural Network Library for Geometric Computer Vision
We introduce gvnn, a neural network library in Torch aimed towards bridg...
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04/06/2016
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
In this work we investigate the problem of road scene semantic segmentat...
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05/01/2015
