research
∙
03/21/2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
The Lucas-Kanade (LK) method is a classic iterative homography estimatio...
share
research
∙
02/02/2023
Hyperbolic Contrastive Learning
Learning good image representations that are beneficial to downstream ta...
research
∙
11/29/2022
Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound
With the advancement in computing and robotics, it is necessary to devel...
research
∙
09/27/2022
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data
Speed-control forecasting, a challenging problem in driver behavior anal...
research
∙
07/20/2022
Robust Object Detection With Inaccurate Bounding Boxes
Learning accurate object detectors often requires large-scale training d...
research
∙
03/29/2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Deep neural networks for 3D point cloud classification, such as PointNet...
research
∙
10/19/2021
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map
LiDAR odometry and localization has attracted increasing research intere...
research
∙
10/14/2021
An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware
State-of-the-art deep neural networks (DNNs) have been proven to be vuln...
research
∙
09/23/2021
Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm
With the advancement in computing and robotics, it is necessary to devel...
research
∙
09/13/2021
LiDAR Odometry Methodologies for Autonomous Driving: A Survey
Vehicle odometry is an essential component of an automated driving syste...
research
∙
05/23/2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Graph convolutional networks (GCNs) are widely used in graph-based appli...
research
∙
04/22/2021
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Estimating homography to align image pairs captured by different sensors...
research
∙
04/17/2021
A Surface Geometry Model for LiDAR Depth Completion
LiDAR depth completion is a task that predicts depth values for every pi...
research
∙
04/05/2021
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning
It has been attracting more and more attention to understand the global ...
research
∙
03/03/2021
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
Point cloud patterns are hard to learn because of the implicit local geo...
research
∙
10/19/2020
Self-Supervised Visual Attention Learning for Vehicle Re-Identification
Visual attention learning (VAL) aims to produce a confidence map as weig...
research
∙
10/12/2020
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
We propose a novel and efficient training method for RNNs by iteratively...
research
∙
10/02/2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
Imitation learning (IL) aims to learn a policy from expert demonstration...
research
∙
09/01/2020
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation
Deep learning based LiDAR odometry (LO) estimation attracts increasing r...
research
∙
06/21/2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning
In contrast to the literature where the graph local patterns are capture...
research
∙
06/01/2020
Automatic Building and Labeling of HD Maps with Deep Learning
In a world where autonomous driving cars are becoming increasingly more ...
research
∙
03/12/2020
Learning to Segment 3D Point Clouds in 2D Image Space
In contrast to the literature where local patterns in 3D point clouds ar...
research
∙
01/05/2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
In this paper, we investigate the empirical impact of orthogonality regu...
research
∙
09/26/2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Graph convolutional networks (GCNs) suffer from the irregularity of grap...
research
∙
09/13/2019
White-Box Adversarial Defense via Self-Supervised Data Estimation
In this paper, we study the problem of how to defend classifiers against...
research
∙
08/31/2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
In this paper we propose integrating a priori knowledge into both design...
research
∙
08/27/2019
Unsupervised Deep Feature Transfer for Low Resolution Image Classification
In this paper, we propose a simple while effective unsupervised deep fea...
research
∙
08/22/2019
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
Recurrent neural networks (RNNs) are particularly well-suited for modeli...
research
∙
08/22/2019
RNNs Evolving in Equilibrium: A Solution to the Vanishing and Exploding Gradients
Recurrent neural networks (RNNs) are particularly well-suited for modeli...
research
∙
08/03/2019
Random Tensors and their Normal Distributions
The main purpose of this paper is to introduce the random tensor with no...
research
∙
03/26/2019
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
Face super-resolution methods usually aim at producing visually appealin...
research
∙
03/02/2019
Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning
In this paper we study the problem of convergence and generalization err...
research
∙
03/02/2019
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability
We propose a novel Equilibrated Recurrent Neural Network (ERNN) to comb...
research
∙
05/22/2018
Deformable Part Networks
In this paper we propose novel Deformable Part Networks (DPNs) to learn ...
research
∙
05/22/2018
LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks
In this paper we propose solving localized multiple kernel learning (LMK...
research
∙
11/20/2017
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
By lifting the ReLU function into a higher dimensional space, we develop...
research
∙
11/19/2017
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
Understanding the global optimality in deep learning (DL) has been attra...
research
∙
11/23/2016
Learning Joint Feature Adaptation for Zero-Shot Recognition
Zero-shot recognition (ZSR) aims to recognize target-domain data instanc...
research
∙
08/29/2016
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning
Correlation filtering based tracking model has received lots of attentio...
research
∙
11/14/2015
Efficient Training of Very Deep Neural Networks for Supervised Hashing
In this paper, we propose training very deep neural networks (DNNs) for ...
research
∙
11/14/2015
Zero-Shot Learning via Joint Latent Similarity Embedding
Zero-shot recognition (ZSR) deals with the problem of predicting class l...
research
∙
11/14/2015
Sequential Optimization for Efficient High-Quality Object Proposal Generation
We are motivated by the need for a generic object proposal generation al...
research
∙
09/16/2015
Group Membership Prediction
The group membership prediction (GMP) problem involves predicting whethe...
research
∙
09/15/2015
Zero-Shot Learning via Semantic Similarity Embedding
In this paper we consider a version of the zero-shot learning problem wh...
research
∙
10/24/2014
A Novel Visual Word Co-occurrence Model for Person Re-identification
Person re-identification aims to maintain the identity of an individual ...
research
∙
07/20/2014
Object Proposal Generation using Two-Stage Cascade SVMs
Object proposal algorithms have shown great promise as a first step for ...
research
∙
06/13/2014
PRISM: Person Re-Identification via Structured Matching
Person re-identification (re-id), an emerging problem in visual surveill...
research
∙
02/13/2014
