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07/12/2022
Learning to Estimate External Forces of Human Motion in Video
Analyzing sports performance or preventing injuries requires capturing g...
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04/14/2022
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability
Raw deep neural network (DNN) performance is not enough; in real-world s...
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10/19/2021
Come Again? Re-Query in Referring Expression Comprehension
To build a shared perception of the world, humans rely on the ability to...
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05/11/2021
The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting
Quantitative evaluation has increased dramatically among recent video in...
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03/02/2021
Depth from Camera Motion and Object Detection
This paper addresses the problem of learning to estimate the depth of de...
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01/12/2021
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
Articulated hand pose tracking is an underexplored problem that carries ...
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11/08/2020
Integrating Human Gaze into Attention for Egocentric Activity Recognition
It is well known that human gaze carries significant information about v...
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10/23/2020
The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation
Autonomous robot systems for applications from search and rescue to assi...
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09/16/2020
DAER to Reject Seeds with Dual-loss Additional Error Regression
Many vision tasks require side information at inference time—a seed—to f...
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07/29/2020
Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection
Video understanding of robot-assisted surgery (RAS) videos is an active ...
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07/13/2020
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
Temporally localizing activities within untrimmed videos has been extens...
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07/11/2020
Learning Object Depth from Camera Motion and Video Object Segmentation
Video object segmentation, i.e., the separation of a target object from ...
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06/22/2020
Slimming Neural Networks using Adaptive Connectivity Scores
There are two broad approaches to deep neural network (DNN) pruning: 1) ...
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06/05/2020
Novel Object Viewpoint Estimation through Reconstruction Alignment
The goal of this paper is to estimate the viewpoint for a novel object. ...
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03/18/2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Most approaches to deep neural network compression via pruning either ev...
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02/03/2020
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation
We propose a novel model named Multi-Channel Attention Selection Generat...
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01/13/2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
Like humans, deep networks learn better when samples are organized and i...
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12/10/2019
HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks
Video-to-video translation for super-resolution, inpainting, style trans...
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10/02/2019
Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples
Feature selection seeks a curated subset of available features such that...
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09/24/2019
Unified Vision-Language Pre-Training for Image Captioning and VQA
This paper presents a unified Vision-Language Pre-training (VLP) model. ...
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08/15/2019
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
TASED-Net is a 3D fully-convolutional network architecture for video sal...
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04/15/2019
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Cross-view image translation is challenging because it involves images w...
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04/01/2019
Self-Supervised Robot In-hand Object Learning
In order to complete tasks in a new environment, robots must be able to ...
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03/28/2019
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
Semi-supervised video object segmentation has made significant progress ...
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03/20/2019
Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot Platform
To be useful in everyday environments, robots must be able to identify a...
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01/28/2019
Attribute-Guided Sketch Generation
Facial attributes are important since they provide a detailed descriptio...
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01/17/2019
Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification
To be useful in everyday environments, robots must be able to observe an...
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12/17/2018
Grounded Video Description
Video description is one of the most challenging problems in vision and ...
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11/19/2018
Tukey-Inspired Video Object Segmentation
We investigate the problem of strictly unsupervised video object segment...
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09/25/2018
Floyd-Warshall Reinforcement Learning Learning from Past Experiences to Reach New Goals
Consider mutli-goal tasks that involve static environments and dynamic g...
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05/08/2018
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction
We study weakly-supervised video object grounding: given a video segment...
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05/02/2018
Joint Surgical Gesture and Task Classification with Multi-Task and Multimodal Learning
We propose a novel multi-modal and multi-task architecture for simultane...
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04/16/2018
M-PACT: Michigan Platform for Activity Classification in Tensorflow
Action classification is a widely known and popular task that offers an ...
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04/03/2018
End-to-End Dense Video Captioning with Masked Transformer
Dense video captioning aims to generate text descriptions for all events...
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03/29/2018
Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset
Next generation robots will need to understand intricate and articulated...
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03/21/2018
T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition
An action should remain identifiable when modifying its speed: consider ...
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03/20/2018
A Temporally-Aware Interpolation Network for Video Frame Inpainting
We propose the first deep learning solution to video frame inpainting, a...
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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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02/07/2018
A Critical Investigation of Deep Reinforcement Learning for Navigation
The navigation problem is classically approached in two steps: an explor...
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02/05/2018
Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation
Humans have an unparalleled visual intelligence and can overcome visual ...
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01/15/2018
Deep Net Triage: Assessing the Criticality of Network Layers by Structural Compression
Deep network compression seeks to reduce the number of parameters in the...
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01/12/2018
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models
In the event of sensor failure, it is necessary for autonomous vehicles ...
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03/29/2017
Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation
We motivate and address a human-in-the-loop variant of the monocular vie...
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03/28/2017
Towards Automatic Learning of Procedures from Web Instructional Videos
The potential for agents, whether embodied or software, to learn by obse...
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12/14/2016
Sparse Factorization Layers for Neural Networks with Limited Supervision
Whereas CNNs have demonstrated immense progress in many vision problems,...
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06/15/2016
Watch What You Just Said: Image Captioning with Text-Conditional Attention
Attention mechanisms have attracted considerable interest in image capti...
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04/12/2016
Spatiotemporal Articulated Models for Dynamic SLAM
We propose an online spatiotemporal articulation model estimation framew...
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12/30/2015
LIBSVX: A Supervoxel Library and Benchmark for Early Video Processing
Supervoxel segmentation has strong potential to be incorporated into ear...
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12/30/2015
Actor-Action Semantic Segmentation with Grouping Process Models
Actor-action semantic segmentation made an important step toward advance...
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10/21/2014
