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08/29/2023
Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation
In recent years, there has been a significant effort dedicated to develo...
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07/02/2023
RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot
A key challenge in robotic manipulation in open domains is how to acquir...
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12/16/2022
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
As the basis for prehensile manipulation, it is vital to enable robots t...
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11/14/2022
Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions
Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at dete...
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11/07/2022
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
Accurate whole-body multi-person pose estimation and tracking is an impo...
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10/11/2022
X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360^∘ Insufficient RGB-D Views
Neural Radiance Fields (NeRFs), despite their outstanding performance on...
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06/23/2022
Unseen Object 6D Pose Estimation: A Benchmark and Baselines
Estimating the 6D pose for unseen objects is in great demand for many re...
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02/17/2022
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping
Transparent objects are common in our daily life and frequently handled ...
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02/14/2022
HAKE: A Knowledge Engine Foundation for Human Activity Understanding
Human activity understanding is of widespread interest in artificial int...
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03/23/2021
SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping
Suction is an important solution for the longstanding robotic grasping p...
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03/14/2021
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
Multimodal prediction results are essential for trajectory forecasting t...
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03/03/2021
RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
General object grasping is an important yet unsolved problem in the fiel...
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10/02/2020
DecAug: Augmenting HOI Detection via Decomposition
Human-object interaction (HOI) detection requires a large amount of anno...
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10/02/2020
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
Recent years, human-object interaction (HOI) detection has achieved impr...
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04/02/2020
PaStaNet: Toward Human Activity Knowledge Engine
Existing image-based activity understanding methods mainly adopt direct ...
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12/31/2019
GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping
Object grasping is critical for many applications, which is also a chall...
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12/31/2019
GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping
Object grasping is critical for many applications, which is also a chall...
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08/21/2019
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
Instance segmentation requires a large number of training samples to ach...
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08/16/2019
Cross-Domain Adaptation for Animal Pose Estimation
In this paper, we are interested in pose estimation of animals. Animals ...
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04/13/2019
HAKE: Human Activity Knowledge Engine
Human activity understanding is crucial for building automatic intellige...
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12/04/2018
Estimating 6D Pose From Localizing Designated Surface Keypoints
In this paper, we present an accurate yet effective solution for 6D pose...
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12/02/2018
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
Multi-person pose estimation is fundamental to many computer vision task...
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11/20/2018
Transferable Interactiveness Prior for Human-Object Interaction Detection
Human-Object Interaction (HOI) Detection is an important problem to unde...
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07/28/2018
Pairwise Body-Part Attention for Recognizing Human-Object Interactions
In human-object interactions (HOI) recognition, conventional methods con...
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05/11/2018
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Human body part parsing, or human semantic part segmentation, is fundame...
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12/01/2016