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08/07/2023
MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation
In this paper, we present a novel method for mobile manipulators to perf...
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08/07/2023
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
Visual pre-training with large-scale real-world data has made great prog...
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07/19/2023
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations
3D instance segmentation methods often require fully-annotated dense lab...
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07/05/2023
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Recent advancements in Large Language Models (LLMs) such as GPT4 have di...
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03/20/2023
Learning to Explore Informative Trajectories and Samples for Embodied Perception
We are witnessing significant progress on perception models, specificall...
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10/24/2022
Towards Unifying Reference Expression Generation and Comprehension
Reference Expression Generation (REG) and Comprehension (REC) are two hi...
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10/03/2022
Generative Category-Level Shape and Pose Estimation with Semantic Primitives
Empowering autonomous agents with 3D understanding for daily objects is ...
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09/08/2022
Exploring Target Representations for Masked Autoencoders
Masked autoencoders have become popular training paradigms for self-supe...
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07/05/2022
3D Part Assembly Generation with Instance Encoded Transformer
It is desirable to enable robots capable of automatic assembly. Structur...
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04/12/2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Can a robot autonomously learn to design and construct a bridge from var...
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02/08/2022
Navigating to Objects in Unseen Environments by Distance Prediction
Object Goal Navigation (ObjectNav) task is to navigate an agent to an ob...
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11/15/2021
iBOT: Image BERT Pre-Training with Online Tokenizer
The success of language Transformers is primarily attributed to the pret...
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10/14/2021
Self-Supervised Learning by Estimating Twin Class Distributions
We present TWIST, a novel self-supervised representation learning method...
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08/26/2021
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Separating 3D point clouds into individual instances is an important tas...
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08/05/2021
Learning to Design and Construct Bridge without Blueprint
Autonomous assembly has been a desired functionality of many intelligent...
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08/05/2021
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
Grasping in cluttered scenes has always been a great challenge for robot...
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06/30/2021
SOLO: A Simple Framework for Instance Segmentation
Compared to many other dense prediction tasks, e.g., semantic segmentati...
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06/10/2021
Adversarial Option-Aware Hierarchical Imitation Learning
It has been a challenge to learning skills for an agent from long-horizo...
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03/31/2021
Scale-aware Automatic Augmentation for Object Detection
We propose Scale-aware AutoAug to learn data augmentation policies for o...
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03/30/2021
Locate then Segment: A Strong Pipeline for Referring Image Segmentation
Referring image segmentation aims to segment the objects referred by a n...
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12/31/2020
TransTrack: Multiple-Object Tracking with Transformer
Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
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11/25/2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
We present Sparse R-CNN, a purely sparse method for object detection in ...
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11/18/2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
To date, most existing self-supervised learning methods are designed and...
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03/23/2020
SOLOv2: Dynamic, Faster and Stronger
In this work, we aim at building a simple, direct, and fast instance seg...
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12/10/2019
SOLO: Segmenting Objects by Locations
We present a new, embarrassingly simple approach to instance segmentatio...
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09/17/2019
Deep Point-wise Prediction for Action Temporal Proposal
Detecting actions in videos is an important yet challenging task. Previo...
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09/17/2019
Task-Aware Monocular Depth Estimation for 3D Object Detection
Monocular depth estimation enables 3D perception from a single 2D image,...
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04/25/2019
Attention-based Transfer Learning for Brain-computer Interface
Different functional areas of the human brain play different roles in br...
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04/08/2019
FoveaBox: Beyond Anchor-based Object Detector
We present FoveaBox, an accurate, flexible and completely anchor-free fr...
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01/19/2019
Consistent Optimization for Single-Shot Object Detection
We present consistent optimization for single stage object detection. Pr...
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12/04/2018
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination
We propose a light-weight video frame interpolation algorithm. Our key i...
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08/24/2018
Deep Feature Pyramid Reconfiguration for Object Detection
State-of-the-art object detectors usually learn multi-scale representati...
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08/06/2018
A Survey on Deep Transfer Learning
As a new classification platform, deep learning has recently received in...
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07/06/2017
RON: Reverse Connection with Objectness Prior Networks for Object Detection
We present RON, an efficient and effective framework for generic object ...
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04/03/2016