research
∙
06/05/2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
Occluded and long-range objects are ubiquitous and challenging for 3D ob...
share
research
∙
12/07/2022
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation
The weakly supervised instance segmentation is a challenging task. The e...
research
∙
10/21/2022
Context-Enhanced Stereo Transformer
Stereo depth estimation is of great interest for computer vision researc...
research
∙
06/10/2022
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Estimating the distance of objects is a safety-critical task for autonom...
research
∙
06/08/2022
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
Monocular image-based 3D perception has become an active research area i...
research
∙
04/21/2022
Fast AdvProp
Adversarial Propagation (AdvProp) is an effective way to improve recogni...
research
∙
04/05/2022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
While Visual Question Answering (VQA) has progressed rapidly, previous w...
research
∙
11/25/2021
Learning from Temporal Gradient for Semi-supervised Action Recognition
Semi-supervised video action recognition tends to enable deep neural net...
research
∙
11/15/2021
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
Recently, self-attention operators have shown superior performance as a ...
research
∙
09/16/2021
Harnessing Perceptual Adversarial Patches for Crowd Counting
Crowd counting, which is significantly important for estimating the numb...
research
∙
10/29/2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Although deep neural networks have been a dominant method for many 2D vi...
research
∙
10/12/2020
Shape-Texture Debiased Neural Network Training
Shape and texture are two prominent and complementary cues for recognizi...
research
∙
04/04/2020
Neural Architecture Search for Lightweight Non-Local Networks
Non-Local (NL) blocks have been widely studied in various vision tasks. ...
research
∙
03/28/2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...
research
∙
12/20/2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Designing of search space is a critical problem for neural architecture ...
research
∙
09/03/2019
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
research
∙
06/23/2019
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Trauma is the worldwide leading cause of death and disability in those y...
research
∙
04/01/2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
This paper focuses on learning transferable adversarial examples specifi...
research
∙
01/30/2019
Adversarial Metric Attack for Person Re-identification
Person re-identification (re-ID) has attracted much attention recently d...
research
∙
12/09/2018
