research
∙
09/03/2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
We propose CX-ToM, short for counterfactual explanations with theory-of ...
share
research
∙
04/05/2021
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
This paper addresses unsupervised action segmentation. Prior work captur...
research
∙
04/05/2021
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
This paper is about action segmentation under weak supervision in traini...
research
∙
02/27/2020
Set-Constrained Viterbi for Set-Supervised Action Segmentation
This paper is about weakly supervised action segmentation, where ground ...
research
∙
02/04/2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Strictly enforcing orthonormality constraints on parameter matrices has ...
research
∙
09/28/2019
Weakly Supervised Energy-Based Learning for Action Segmentation
This paper is about labeling video frames with action classes under weak...
research
∙
09/28/2019
Feature Weighting and Boosting for Few-Shot Segmentation
This paper is about few-shot segmentation of foreground objects in image...
research
∙
09/15/2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
We present a new explainable AI (XAI) framework aimed at increasing just...
research
∙
03/13/2019
Natural Language Interaction with Explainable AI Models
This paper presents an explainable AI (XAI) system that provides explana...
research
∙
04/10/2017
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
This work is about recognizing human activities occurring in videos at d...
research
∙
02/28/2017
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion
This paper addresses a new problem of joint object boundary detection an...
research
∙
12/14/2016
Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
This paper addresses 3D shape recognition. Recent work typically represe...
research
∙
07/26/2016
Approximate Policy Iteration for Budgeted Semantic Video Segmentation
This paper formulates and presents a solution to the new problem of budg...
research
∙
06/24/2016
Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction
This paper is about detecting functional objects and inferring human int...
research
∙
06/11/2015
