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01/29/2023
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation
Unsupervised Video Object Segmentation (UVOS) aims at discovering object...
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12/13/2022
Examining the Difference Among Transformers and CNNs with Explanation Methods
We propose a methodology that systematically applies deep explanation al...
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08/04/2022
PointConvFormer: Revenge of the Point-based Convolution
We introduce PointConvFormer, a novel building block for point cloud bas...
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08/01/2022
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
Video Object Segmentation (VOS) is fundamental to video understanding. T...
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03/28/2022
Cycle-Consistent Counterfactuals by Latent Transformations
CounterFactual (CF) visual explanations try to find images similar to th...
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09/13/2021
From Heatmaps to Structural Explanations of Image Classifiers
This paper summarizes our endeavors in the past few years in terms of ex...
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05/01/2021
Stochastic Block-ADMM for Training Deep Networks
In this paper, we propose Stochastic Block-ADMM as an approach to train ...
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05/01/2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds
We consider the problem of modeling the dynamics of continuous spatial-t...
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03/18/2021
Topology-Aware Segmentation Using Discrete Morse Theory
In the segmentation of fine-scale structures from natural and biomedical...
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03/01/2021
Generative Particle Variational Inference via Estimation of Functional Gradients
Recently, particle-based variational inference (ParVI) methods have gain...
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01/28/2021
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking
In multi-object tracking, the tracker maintains in its memory the appear...
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01/19/2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
Recently, there has been a significant interest in performing convolutio...
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07/22/2020
Deep Variational Instance Segmentation
Instance Segmentation, which seeks to obtain both class and instance lab...
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02/04/2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Strictly enforcing orthonormality constraints on parameter matrices has ...
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11/27/2019
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds
We propose a novel end-to-end deep scene flow model, called PointPWC-Net...
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11/23/2019
Visualizing Point Cloud Classifiers by Curvature Smoothing
Recently, several networks that operate directly on point clouds have be...
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11/19/2019
Implicit Generative Modeling for Efficient Exploration
Efficient exploration remains a challenging problem in reinforcement lea...
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06/12/2019
Topology-Preserving Deep Image Segmentation
Segmentation algorithms are prone to make topological errors on fine-sca...
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05/02/2019
Visualizing Deep Networks by Optimizing with Integrated Gradients
Understanding and interpreting the decisions made by deep learning model...
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04/16/2019
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Heatmap regression has became one of the mainstream approaches to locali...
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01/30/2019
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
We introduce HyperGAN, a generative network that learns to generate all ...
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11/17/2018