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04/04/2023
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots
We introduce a method to segment the visual field into independently mov...
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04/01/2023
JacobiNeRF: NeRF Shaping with Mutual Information Gradients
We propose a method that trains a neural radiance field (NeRF) to encode...
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03/31/2023
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
We propose VDN-NeRF, a method to train neural radiance fields (NeRFs) fo...
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10/04/2022
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos
To produce safe human motions, assistive wearable exoskeletons must be e...
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07/13/2022
6D Camera Relocalization in Visually Ambiguous Extreme Environments
We propose a novel method to reliably estimate the pose of a camera give...
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07/12/2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
3D multi-object tracking aims to uniquely and consistently identify all ...
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04/20/2022
GIMO: Gaze-Informed Human Motion Prediction in Context
Predicting human motion is critical for assistive robots and AR/VR appli...
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12/15/2021
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
We propose a framework to continuously learn object-centric representati...
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12/10/2021
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
Building embodied intelligent agents that can interact with 3D indoor en...
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07/27/2021
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
We describe a method for realistic depth synthesis that learns diverse v...
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04/20/2021
Learning Semantic-Aware Dynamics for Video Prediction
We propose an architecture and training scheme to predict video frames b...
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08/16/2020
Time-Supervised Primary Object Segmentation
We describe an unsupervised method to detect and segment portions of liv...
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04/11/2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
We describe a simple method for unsupervised domain adaptation, whereby ...
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04/11/2020
Learning to Manipulate Individual Objects in an Image
We describe a method to train a generative model with latent factors tha...
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04/10/2020
Phase Consistent Ecological Domain Adaptation
We introduce two criteria to regularize the optimization involved in lea...
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01/28/2019
Dense Depth Posterior (DDP) from Single Image and Sparse Range
We present a deep learning system to infer the posterior distribution of...
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01/10/2019
Unsupervised Moving Object Detection via Contextual Information Separation
We propose an adversarial contextual model for detecting moving objects ...
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07/26/2018
Conditional Prior Networks for Optical Flow
Classical computation of optical flow involves generic priors (regulariz...
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11/20/2012
Matching Through Features and Features Through Matching
This paper addresses how to construct features for the problem of image ...
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08/21/2012