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08/17/2023
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
This paper aims to learn a domain-generalizable (DG) person re-identific...
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08/01/2023
VL-Grasp: a 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes
Robotic grasping faces new challenges in human-robot-interaction scenari...
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03/21/2023
Detecting Everything in the Open World: Towards Universal Object Detection
In this paper, we formally address universal object detection, which aim...
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11/07/2022
Generalizable Re-Identification from Videos with Cycle Association
In this paper, we are interested in learning a generalizable person re-i...
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10/24/2022
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval
Current person image retrieval methods have achieved great improvements ...
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10/20/2022
Self-Supervised Learning via Maximum Entropy Coding
A mainstream type of current self-supervised learning methods pursues a ...
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10/19/2022
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
Image guided depth completion aims to recover per-pixel dense depth maps...
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07/27/2022
Portrait Interpretation and a Benchmark
We propose a task we name Portrait Interpretation and construct a datase...
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06/22/2022
Hybrid Physical Metric For 6-DoF Grasp Pose Detection
6-DoF grasp pose detection of multi-grasp and multi-object is a challeng...
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03/25/2022
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
Current instance segmentation methods rely heavily on pixel-level annota...
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12/28/2021
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification
Clustering-based unsupervised domain adaptive (UDA) person re-identifica...
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11/01/2021
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Semi-supervised learning aims to leverage a large amount of unlabeled da...
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07/20/2021
Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation
Transcripts generated by automatic speech recognition (ASR) systems for ...
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06/19/2021
AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
Detection in large-scale scenes is a challenging problem due to small ob...
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05/07/2021
A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
Learning pyramidal feature representations is crucial for recognizing ob...
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03/29/2021
Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
In this paper, we delve into semi-supervised object detection where unla...
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07/15/2020
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
This paper proposes a self-supervised learning method for the person re-...
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08/04/2019
Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning
The softmax loss and its variants are widely used as objectives for embe...
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05/30/2019
Hierarchical Structure and Joint Training for Large Scale Semi-supervised Object Detection
Generic object detection is one of the most fundamental and important pr...
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05/05/2019
Intra-clip Aggregation for Video Person Re-identification
Video-based person re-id has drawn much attention in recent years due to...
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04/01/2019
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
This paper considers a realistic problem in person re-identification (re...
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03/27/2019
Linkage Based Face Clustering via Graph Convolution Network
In this paper, we present an accurate and scalable approach to the face ...
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11/19/2018
Intention Oriented Image Captions with Guiding Objects
Although existing image caption models can produce promising results usi...
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11/27/2017
DeepDeblur: Fast one-step blurry face images restoration
We propose a very fast and effective one-step restoring method for blurr...
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10/12/2017