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07/21/2023
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Visual question answering requires a system to provide an accurate natur...
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06/16/2023
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views
Large Language Models (LLMs) have achieved great success in various natu...
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04/07/2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Efficient automatic segmentation of multi-level (i.e. main and branch) p...
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04/01/2023
Progressive Channel-Shrinking Network
Currently, salience-based channel pruning makes continuous breakthroughs...
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04/01/2023
GradMDM: Adversarial Attack on Dynamic Networks
Dynamic neural networks can greatly reduce computation redundancy withou...
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11/30/2022
DiffPose: Toward More Reliable 3D Pose Estimation
Monocular 3D human pose estimation is quite challenging due to the inher...
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10/09/2022
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge
Non-blind deblurring methods achieve decent performance under the accura...
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09/08/2022
nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection
Continual Learning (CL) focuses on developing algorithms with the abilit...
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05/09/2022
HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis
Accurate and unbiased examinations of skin lesions are critical for earl...
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04/18/2022
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
Understanding animals' behaviors is significant for a wide range of appl...
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12/22/2020
Human Action Recognition from Various Data Modalities: A Review
Human Action Recognition (HAR), aiming to understand human behaviors and...
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11/09/2020
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Estimating depth from RGB images can facilitate many computer vision tas...
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06/27/2020
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Predicting depth from a single image is an attractive research topic sin...
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05/29/2020
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis
Knowledge graphs (KGs) have become the preferred technology for represen...
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05/25/2020
AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction
Human motion prediction plays a vital role in human-robot interaction wi...
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03/20/2020
Gaussian Curvature Filter on 3D Mesh
Minimizing Gaussian curvature of meshes is fundamentally important for o...
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05/12/2019
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding per...
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04/14/2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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04/28/2016
Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data
Considerable effort has been made to increase the scale of Linked Data. ...
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04/11/2016
