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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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06/26/2023
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
Video anomaly detection under weak supervision is challenging due to the...
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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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04/02/2022
R(Det)^2: Randomized Decision Routing for Object Detection
In the paradigm of object detection, the decision head is an important p...
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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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10/15/2021
EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
In this paper, we consider the problem of reference-based video super-re...
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08/07/2021
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
In this work, we address the problem of unsupervised domain adaptation f...
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07/05/2021
Do Different Tracking Tasks Require Different Appearance Models?
Tracking objects of interest in a video is one of the most popular and w...
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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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06/07/2021
Multi-Target Domain Adaptation with Collaborative Consistency Learning
Recently unsupervised domain adaptation for the semantic segmentation ta...
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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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08/13/2020
Revisiting Temporal Modeling for Video Super-resolution
Video super-resolution plays an important role in surveillance video ana...
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08/02/2020
Video Super-Resolution with Recurrent Structure-Detail Network
Most video super-resolution methods super-resolve a single reference fra...
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07/21/2020
Video Super-resolution with Temporal Group Attention
Video super-resolution, which aims at producing a high-resolution video ...
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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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11/27/2019
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
Multi-target multi-camera tracking (MTMCT) systems track targets across ...
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09/27/2019
Towards Real-Time Multi-Object Tracking
Modern multiple object tracking (MOT) systems usually follow the trackin...
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08/04/2019
Adversarial View-Consistent Learning for Monocular Depth Estimation
This paper addresses the problem of Monocular Depth Estimation (MDE). Ex...
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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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04/25/2019
HAR-Net: Joint Learning of Hybrid Attention for Single-stage Object Detection
Object detection has been a challenging task in computer vision. Althoug...
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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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10/31/2018
Query Adaptive Late Fusion for Image Retrieval
Feature fusion is a commonly used strategy in image retrieval tasks, whi...
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06/06/2018
Fast and Accurate Online Video Object Segmentation via Tracking Parts
Online video object segmentation is a challenging task as it entails to ...
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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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11/26/2017
Beyond Part Models: Person Retrieval with Refined Part Pooling
Employing part-level features for pedestrian image description offers fi...
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10/12/2017
Progressive Representation Adaptation for Weakly Supervised Object Localization
We address the problem of weakly supervised object localization where on...
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09/20/2017
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
This paper proposes an end-to-end trainable network, SegFlow, for simult...
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09/14/2017
Learning to Segment Instances in Videos with Spatial Propagation Network
We propose a deep learning-based framework for instance-level object seg...
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06/05/2017
Learning Structured Semantic Embeddings for Visual Recognition
Numerous embedding models have been recently explored to incorporate sem...
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04/08/2017
Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification
Person re-identification is generally divided into two part: first how t...
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03/16/2017
SVDNet for Pedestrian Retrieval
This paper proposes the SVDNet for retrieval problems, with focus on the...
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04/01/2016
Good Practice in CNN Feature Transfer
The objective of this paper is the effective transfer of the Convolution...
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01/23/2016
Person Re-Identification by Discriminative Selection in Video Ranking
Current person re-identification (ReID) methods typically rely on single...
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03/02/2015
Deep Transfer Network: Unsupervised Domain Adaptation
Domain adaptation aims at training a classifier in one dataset and apply...
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02/07/2015
Person Re-identification Meets Image Search
For long time, person re-identification and image search are two separat...
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06/04/2014