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08/15/2023
Self-supervised Hypergraphs for Learning Multiple World Interpretations
We present a method for learning multiple scene representations given a ...
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12/23/2021
HSPACE: Synthetic Parametric Humans Animated in Complex Environments
Advances in the state of the art for 3d human sensing are currently limi...
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11/20/2021
Discrete Representations Strengthen Vision Transformer Robustness
Vision Transformer (ViT) is emerging as the state-of-the-art architectur...
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06/17/2021
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers
We present THUNDR, a transformer-based deep neural network methodology t...
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10/02/2020
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
We address the challenging problem of semi-supervised learning in the co...
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08/16/2020
Neural Descent for Visual 3D Human Pose and Shape
We present deep neural network methodology to reconstruct the 3d pose an...
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07/29/2020
Learning Video Representations from Textual Web Supervision
Videos found on the Internet are paired with pieces of text, such as tit...
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03/30/2020
Speech2Action: Cross-modal Supervision for Action Recognition
Is it possible to guess human action from dialogue alone? In this work w...
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03/23/2020
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows
Monocular 3D human pose and shape estimation is challenging due to the m...
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09/14/2019
Selfie Drone Stick: A Natural Interface for Quadcopter Photography
A physical selfie stick extends the user's reach, enabling the creation ...
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07/21/2019
An Efficient 3D CNN for Action/Object Segmentation in Video
Convolutional Neural Network (CNN) based image segmentation has made gre...
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04/08/2019
Relational Action Forecasting
This paper focuses on multi-person action forecasting in videos. More pr...
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02/27/2019
Customizing Object Detectors for Indoor Robots
Object detection models based on convolutional neural networks (CNNs) de...
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12/19/2018
D3D: Distilled 3D Networks for Video Action Recognition
State-of-the-art methods for video action recognition commonly use an en...
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11/30/2018
Modulated Policy Hierarchies
Solving tasks with sparse rewards is a main challenge in reinforcement l...
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07/28/2018
Actor-Centric Relation Network
Current state-of-the-art approaches for spatio-temporal action localizat...
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04/20/2018
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
We propose TAL-Net, an improved approach to temporal action localization...
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01/26/2018
Object category learning and retrieval with weak supervision
We consider the problem of retrieving objects from image data and learni...
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05/23/2017
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
This paper introduces a video dataset of spatio-temporally localized Ato...
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05/16/2017
WebVision Challenge: Visual Learning and Understanding With Web Data
We present the 2017 WebVision Challenge, a public image recognition chal...
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05/05/2017
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Given a visual history, multiple future outcomes for a video scene are e...
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03/08/2017
Robust Adversarial Reinforcement Learning
Deep neural networks coupled with fast simulation and improved computati...
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02/13/2017
Cognitive Mapping and Planning for Visual Navigation
We introduce a neural architecture for navigation in novel environments....
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02/03/2017
Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data
Real-time optimization of traffic flow addresses important practical pro...
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12/20/2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
In recent years, we have seen tremendous progress in the field of object...
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04/21/2016
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Automatically recognizing and localizing wide ranges of human actions ha...
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12/01/2015
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision
Feature selection is essential for effective visual recognition. We prop...
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11/30/2015
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video
We propose an automatic system for organizing the content of a collectio...
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11/19/2015
Variable Rate Image Compression with Recurrent Neural Networks
A large fraction of Internet traffic is now driven by requests from mobi...
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04/04/2015
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
We address the problem of fine-grained action localization from temporal...
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12/01/2014
Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video
Given unstructured videos of deformable objects, we automatically recove...
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11/28/2014
Articulated motion discovery using pairs of trajectories
We propose an unsupervised approach for discovering characteristic motio...
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11/27/2014
Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering
Feature selection is an essential problem in computer vision, important ...
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04/02/2014
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition
We propose a general multi-class visual recognition model, termed the Cl...
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06/20/2012