research
∙
08/10/2023
Learning Gabor Texture Features for Fine-Grained Recognition
Extracting and using class-discriminative features is critical for fine-...
share
research
∙
07/31/2023
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation
As a representative cyber-physical system (CPS), robotic manipulator has...
research
∙
06/14/2023
Towards Balanced Active Learning for Multimodal Classification
Training multimodal networks requires a vast amount of data due to their...
research
∙
04/11/2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation (CSS) extends static semantic segmentati...
research
∙
01/01/2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
New architecture GPUs like A100 are now equipped with multi-instance GPU...
research
∙
10/02/2022
Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning
Quadruped locomotion now has acquired the skill to traverse or even spri...
research
∙
02/19/2022
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study
While action recognition (AR) has gained large improvements with the int...
research
∙
09/26/2021
Self-Supervised Video Representation Learning by Video Incoherence Detection
This paper introduces a novel self-supervised method that leverages inco...
research
∙
07/11/2021
Aligning Correlation Information for Domain Adaptation in Action Recognition
Domain adaptation (DA) approaches address domain shift and enable networ...
research
∙
11/04/2020
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Deep learning (DL) models have become core modules for many applications...
research
∙
08/26/2020
Effective Action Recognition with Embedded Key Point Shifts
Temporal feature extraction is an essential technique in video-based act...
research
∙
06/09/2020
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
MLModelCI provides multimedia researchers and developers with a one-stop...
research
∙
06/09/2020
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition
Long-range spatiotemporal dependencies capturing plays an essential role...
research
∙
06/06/2020
ARID: A New Dataset for Recognizing Action in the Dark
The task of action recognition in dark videos is useful in various scena...
research
∙
05/06/2020
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Temporal feature extraction is an important issue in video-based action ...
research
∙
07/09/2019
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
Lesion detection from computed tomography (CT) scans is challenging comp...
research
∙
10/10/2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Over the past decades, deep learning (DL) systems have achieved tremendo...
research
∙
09/04/2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
In company with the data explosion over the past decade, deep neural net...
research
∙
09/04/2018
Coverage-Guided Fuzzing for Deep Neural Networks
In company with the data explosion over the past decade, deep neural net...
research
∙
01/29/2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
It is desirable to train convolutional networks (CNNs) to run more effic...
research
∙
05/27/2017
