research
∙
11/04/2022
CASA: Category-agnostic Skeletal Animal Reconstruction
Recovering the skeletal shape of an animal from a monocular video is a l...
share
research
∙
08/04/2022
Occupancy Planes for Single-view RGB-D Human Reconstruction
Single-view RGB-D human reconstruction with implicit functions is often ...
research
∙
05/30/2022
Neural Volumetric Object Selection
We introduce an approach for selecting objects in neural volumetric 3D r...
research
∙
04/07/2022
Total Variation Optimization Layers for Computer Vision
Optimization within a layer of a deep-net has emerged as a new direction...
research
∙
12/03/2021
Class-agnostic Reconstruction of Dynamic Objects from Videos
We introduce REDO, a class-agnostic framework to REconstruct the Dynamic...
research
∙
08/06/2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Solving complex real-world tasks, e.g., autonomous fleet control, often ...
research
∙
05/13/2021
3D Spatial Recognition without Spatially Labeled 3D
We introduce WyPR, a Weakly-supervised framework for Point cloud Recogni...
research
∙
10/21/2020
UFO^2: A Unified Framework towards Omni-supervised Object Detection
Existing work on object detection often relies on a single form of annot...
research
∙
07/02/2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Existing semi-supervised learning (SSL) algorithms use a single weight t...
research
∙
04/09/2020
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Weakly supervised learning has emerged as a compelling tool for object d...
research
∙
03/30/2018
Learning to Anonymize Faces for Privacy Preserving Action Detection
There is an increasing concern in computer vision devices invading the p...
research
∙
11/24/2017