research
∙
07/20/2023
Human Motion Generation: A Survey
Human motion generation aims to generate natural human pose sequences an...
share
research
∙
06/13/2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions
Human intelligence can retrieve any person according to both visual and ...
research
∙
06/02/2023
Nonholonomic Motion Planning as Efficient as Piano Mover's
We present an algorithm for non-holonomic motion planning (or 'parking a...
research
∙
05/09/2023
Causal Discovery with Unobserved Variables: A Proxy Variable Approach
Discovering causal relations from observational data is important. The e...
research
∙
05/09/2023
Causal Discovery from Subsampled Time Series with Proxy Variables
Inferring causal structures from time series data is the central interes...
research
∙
04/21/2023
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Visual-audio navigation (VAN) is attracting more and more attention from...
research
∙
04/07/2023
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking
Active Object Tracking (AOT) aims to maintain a specific relation betwee...
research
∙
03/21/2023
3D Human Mesh Estimation from Virtual Markers
Inspired by the success of volumetric 3D pose estimation, some recent hu...
research
∙
03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
research
∙
03/07/2023
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation
This paper presents a multi-agent reinforcement learning (MARL) scheme f...
research
∙
03/06/2023
UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
research
∙
02/22/2023
Saliency Guided Contrastive Learning on Scene Images
Self-supervised learning holds promise in leveraging large numbers of un...
research
∙
02/13/2023
Towards Explainable Visual Anomaly Detection
Anomaly detection and localization of visual data, including images and ...
research
∙
01/28/2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection
Anomaly detection in videos is a significant yet challenging problem. Pr...
research
∙
12/16/2022
GFPose: Learning 3D Human Pose Prior with Gradient Fields
Learning 3D human pose prior is essential to human-centered AI. Here, we...
research
∙
10/12/2022
MotionBERT: Unified Pretraining for Human Motion Analysis
We present MotionBERT, a unified pretraining framework, to tackle differ...
research
∙
07/31/2022
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
As an important upstream task for many medical applications, supervised ...
research
∙
07/22/2022
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
While the voxel-based methods have achieved promising results for multi-...
research
∙
07/20/2022
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
While monocular 3D pose estimation seems to have achieved very accurate ...
research
∙
07/07/2022
GaitTAKE: Gait Recognition by Temporal Attention and Keypoint-guided Embedding
Gait recognition, which refers to the recognition or identification of a...
research
∙
05/10/2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Generalizing learned representations across significantly different visu...
research
∙
04/21/2022
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification
Due to its safety-critical property, the image-based diagnosis is desire...
research
∙
04/17/2022
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Subject-invariant facial action unit (AU) recognition remains challengin...
research
∙
03/12/2022
EventFormer: AU Event Transformer for Facial Action Unit Event Detection
Facial action units (AUs) play an indispensable role in human emotion an...
research
∙
03/09/2022
Adaptive Trajectory Prediction via Transferable GNN
Pedestrian trajectory prediction is an essential component in a wide ran...
research
∙
03/04/2022
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning
Grasping moving objects, such as goods on a belt or living animals, is a...
research
∙
12/19/2021
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
We present a novel framework that brings the 3D motion retargeting task ...
research
∙
12/01/2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
The pretrain-finetune paradigm is a classical pipeline in visual learnin...
research
∙
11/25/2021
SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation
Anomaly detection is a fundamental yet challenging problem in machine le...
research
∙
10/15/2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Being able to predict the mental states of others is a key factor to eff...
research
∙
10/11/2021
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images
Quantitative estimation of the acute ischemic infarct is crucial to impr...
research
∙
10/08/2021
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition
Context, as referred to situational factors related to the object of int...
research
∙
08/05/2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
One-stage long-tailed recognition methods improve the overall performanc...
research
∙
06/22/2021
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization
Adaptive gradient methods, such as Adam, have achieved tremendous succes...
research
∙
06/18/2021
Towards Distraction-Robust Active Visual Tracking
In active visual tracking, it is notoriously difficult when distracting ...
research
∙
06/02/2021
Towards Unified Surgical Skill Assessment
Surgical skills have a great influence on surgical safety and patients' ...
research
∙
05/21/2021
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection
Mammogram mass detection is crucial for diagnosing and preventing the br...
research
∙
05/11/2021
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment
Radar has long been a common sensor on autonomous vehicles for obstacle ...
research
∙
05/06/2021
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
Multi-object tracking (MOT) is an essential task in the computer vision ...
research
∙
05/03/2021
Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model
In this paper, we propose a novel framework for multi-target multi-camer...
research
∙
03/30/2021
Causal Hidden Markov Model for Time Series Disease Forecasting
We propose a causal hidden Markov model to achieve robust prediction of ...
research
∙
03/29/2021
Context Modeling in 3D Human Pose Estimation: A Unified Perspective
Estimating 3D human pose from a single image suffers from severe ambigui...
research
∙
02/09/2021
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
Various autonomous or assisted driving strategies have been facilitated ...
research
∙
12/21/2020
Disease Forecast via Progression Learning
Forecasting Parapapillary atrophy (PPA), i.e., a symptom related to most...
research
∙
12/16/2020
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Universal lesion detection from computed tomography (CT) slices is impor...
research
∙
11/25/2020
Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation
Semi-supervised learning aims to boost the accuracy of a model by explor...
research
∙
10/25/2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Maximum target coverage by adjusting the orientation of distributed sens...
research
∙
09/30/2020
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Mammogram benign or malignant classification with only image-level label...
research
∙
08/27/2020
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Surgical skill assessment is important for surgery training and quality ...
research
∙
08/27/2020