b'Liang Zheng'

research

∙ 08/18/2023

Training with Product Digital Twins for AutoRetail Checkout

Automating the checkout process is important in smart retail, where user...

0 Yue Yao, et al. ∙

research

∙ 07/10/2023

Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback

The field of text-conditioned image generation has made unparalleled pro...

0 Jaskirat Singh, et al. ∙

research

∙ 03/28/2023

Large-scale Training Data Search for Object Re-identification

We consider a scenario where we have access to the target domain, but ca...

0 Yue Yao, et al. ∙

research

∙ 03/23/2023

A Bag-of-Prototypes Representation for Dataset-Level Applications

This work investigates dataset vectorization for two dataset-level tasks...

0 Weijie Tu, et al. ∙

research

∙ 03/09/2023

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift

Model calibration usually requires optimizing some parameters (e.g., tem...

0 Yuli Zou, et al. ∙

research

∙ 02/16/2023

Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective

Out-of-distribution (OOD) detection methods assume that they have test g...

0 Yuhang Zhang, et al. ∙

research

∙ 02/02/2023

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

This work aims to assess how well a model performs under distribution sh...

0 Weijian Deng, et al. ∙

research

∙ 01/27/2023

Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding

Large-scale data missing is a challenging problem in Intelligent Transpo...

0 Kunpeng Zhang, et al. ∙

research

∙ 01/23/2023

CircNet: Meshing 3D Point Clouds with Circumcenter Detection

Reconstructing 3D point clouds into triangle meshes is a key problem in ...

0 Huan Lei, et al. ∙

research

∙ 11/30/2022

High-Fidelity Guided Image Synthesis with Latent Diffusion Models

Controllable image synthesis with user scribbles has gained huge public ...

0 Jaskirat Singh, et al. ∙

research

∙ 11/07/2022

Generalizable Re-Identification from Videos with Cycle Association

In this paper, we are interested in learning a generalizable person re-i...

0 Zhongdao Wang, et al. ∙

research

∙ 07/14/2022

On the Strong Correlation Between Model Invariance and Generalization

Generalization and invariance are two essential properties of any machin...

5 Weijian Deng, et al. ∙

research

∙ 02/28/2022

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond

This article aims to use graphic engines to simulate a large number of t...

0 Yue Yao, et al. ∙

research

∙ 12/07/2021

Voxelized 3D Feature Aggregation for Multiview Detection

Multi-view detection incorporates multiple camera views to alleviate occ...

21 Jiahao Ma, et al. ∙

research

∙ 12/03/2021

Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)

Due to the expensive data collection process, micro-expression datasets ...

0 Yuchi Liu, et al. ∙

research

∙ 11/01/2021

Hierarchical Image Classification with A Literally Toy Dataset

Unsupervised domain adaptation (UDA) in image classification remains a b...

0 Long He, et al. ∙

research

∙ 06/30/2021

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking

Association, aiming to link bounding boxes of the same identity in a vid...

0 Yuchi Liu, et al. ∙

research

∙ 06/16/2021

Invertible Attention

Attention has been proved to be an efficient mechanism to capture long-r...

19 Jiajun Zha, et al. ∙

research

∙ 06/10/2021

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?

Understanding classifier decision under novel environments is central to...

0 Weijian Deng, et al. ∙

research

∙ 05/20/2021

VTNet: Visual Transformer Network for Object Goal Navigation

Object goal navigation aims to steer an agent towards a target object ba...

12 Heming Du, et al. ∙

research

∙ 05/10/2021

Boosting Semi-Supervised Face Recognition with Noise Robustness

Although deep face recognition benefits significantly from large-scale t...

4 Yuchi Liu, et al. ∙

research

∙ 04/01/2021

Positive Sample Propagation along the Audio-Visual Event Line

Visual and audio signals often coexist in natural environments, forming ...

0 Jinxing Zhou, et al. ∙

research

∙ 02/14/2021

Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Training deep reinforcement learning agents on environments with multipl...

0 Jaskirat Singh, et al. ∙

research

∙ 12/12/2020

Fine-grained Classification via Categorical Memory Networks

Motivated by the desire to exploit patterns shared across classes, we pr...

0 Weijian Deng, et al. ∙

research

∙ 11/25/2020

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

Generation of stroke-based non-photorealistic imagery, is an important p...

14 Jaskirat Singh, et al. ∙

research

∙ 11/25/2020

Enhanced Scene Specificity with Sparse Dynamic Value Estimation

Multi-scene reinforcement learning involves training the RL agent across...

2 Jaskirat Singh, et al. ∙

research

∙ 07/21/2020

Learning Object Relation Graph and Tentative Policy for Visual Navigation

Target-driven visual navigation aims at navigating an agent towards a gi...

0 Heming Du, et al. ∙

research

∙ 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-...

0 Zhongdao Wang, et al. ∙

research

∙ 07/06/2020

Are Labels Necessary for Classifier Accuracy Evaluation?

To calculate the model accuracy on a computer vision task, e.g., object ...

0 Weijian Deng, et al. ∙

research

∙ 06/25/2020

Learning to simulate complex scenes

Data simulation engines like Unity are becoming an increasingly importan...

0 Zhenfeng Xue, et al. ∙

research

∙ 05/25/2020

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Training deep reinforcement learning agents on environments with multipl...

14 Jaskirat Singh, et al. ∙

research

∙ 05/04/2020

Correlating Edge, Pose with Parsing

According to existing studies, human body edge and pose are two benefici...

0 Ziwei Zhang, et al. ∙

research

∙ 04/30/2020

The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...

0 Milind Naphade, et al. ∙

research

∙ 03/17/2020

Learning to Structure an Image with Few Colors

Color and structure are the two pillars that construct an image. Usually...

0 Yunzhong Hou, et al. ∙

research

∙ 02/25/2020

Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep fea...

10 Yifan Sun, et al. ∙

research

∙ 12/18/2019

Simulating Content Consistent Vehicle Datasets with Attribute Descent

We simulate data using a graphic engine to augment real-world datasets, ...

34 Yue Yao, et al. ∙

research

∙ 11/27/2019

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking

Multi-target multi-camera tracking (MTMCT) systems track targets across ...

5 Yunzhong Hou, et al. ∙

research

∙ 09/27/2019

Towards Real-Time Multi-Object Tracking

Modern multiple object tracking (MOT) systems usually follow the trackin...

0 Zhongdao Wang, et al. ∙

research

∙ 08/01/2019

Learning to Adapt Invariance in Memory for Person Re-identification

This work considers the problem of unsupervised domain adaptation in per...

7 Zhun Zhong, et al. ∙

research

∙ 04/15/2019

Joint Discriminative and Generative Learning for Person Re-identification

Person re-identification (re-id) remains challenging due to significant ...

20 Zhedong Zheng, et al. ∙

research

∙ 04/03/2019

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

This paper considers the domain adaptive person re-identification (re-ID...

0 Zhun Zhong, et al. ∙

research

∙ 03/27/2019

Linkage Based Face Clustering via Graph Convolution Network

In this paper, we present an accurate and scalable approach to the face ...

0 Zhongdao Wang, et al. ∙

research

∙ 03/12/2019

Image Classification base on PCA of Multi-view Deep Representation

In the age of information explosion, image classification is the key tec...

0 Yaoqi Sun, et al. ∙

research

∙ 12/21/2018

Learning from Web Data: the Benefit of Unsupervised Object Localization

Annotating a large number of training images is very time-consuming. In ...

24 Xiaoxiao Sun, et al. ∙

research

∙ 12/05/2018

Dissecting Person Re-identification from the Viewpoint of Viewpoint

In person re-identification (re-ID),In person re-identification (re-ID),...

2 Xiaoxiao Sun, et al. ∙

research

∙ 12/03/2018

Domain Alignment with Triplets

Deep domain adaptation methods can reduce the distribution discrepancy b...

0 Weijian Deng, et al. ∙

research

∙ 11/26/2018

Similarity-preserving Image-image Domain Adaptation for Person Re-identification

This article studies the domain adaptation problem in person re-identifi...

0 Weijian Deng, et al. ∙

research

∙ 10/31/2018

Query Adaptive Late Fusion for Image Retrieval

Feature fusion is a commonly used strategy in image retrieval tasks, whi...

0 Zhongdao Wang, et al. ∙

research

∙ 09/25/2018

Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

We consider the problem of unsupervised domain adaptation in semantic se...

0 Yawei Luo, et al. ∙

research

∙ 09/07/2018

Open Set Adversarial Examples

Adversarial examples in recent works target at closed set recognition sy...

0 Zhedong Zheng, et al. ∙

Liang Zheng

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