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08/18/2023
Training with Product Digital Twins for AutoRetail Checkout
Automating the checkout process is important in smart retail, where user...
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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...
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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...
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03/23/2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
This work investigates dataset vectorization for two dataset-level tasks...
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03/09/2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Model calibration usually requires optimizing some parameters (e.g., tem...
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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...
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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...
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01/27/2023
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding
Large-scale data missing is a challenging problem in Intelligent Transpo...
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01/23/2023
CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Reconstructing 3D point clouds into triangle meshes is a key problem in ...
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11/30/2022
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Controllable image synthesis with user scribbles has gained huge public ...
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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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07/14/2022
On the Strong Correlation Between Model Invariance and Generalization
Generalization and invariance are two essential properties of any machin...
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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...
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12/07/2021
Voxelized 3D Feature Aggregation for Multiview Detection
Multi-view detection incorporates multiple camera views to alleviate occ...
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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 ...
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11/01/2021
Hierarchical Image Classification with A Literally Toy Dataset
Unsupervised domain adaptation (UDA) in image classification remains a b...
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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...
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06/16/2021
Invertible Attention
Attention has been proved to be an efficient mechanism to capture long-r...
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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...
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05/20/2021
VTNet: Visual Transformer Network for Object Goal Navigation
Object goal navigation aims to steer an agent towards a target object ba...
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05/10/2021
Boosting Semi-Supervised Face Recognition with Noise Robustness
Although deep face recognition benefits significantly from large-scale t...
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04/01/2021
Positive Sample Propagation along the Audio-Visual Event Line
Visual and audio signals often coexist in natural environments, forming ...
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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...
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12/12/2020
Fine-grained Classification via Categorical Memory Networks
Motivated by the desire to exploit patterns shared across classes, we pr...
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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...
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11/25/2020
Enhanced Scene Specificity with Sparse Dynamic Value Estimation
Multi-scene reinforcement learning involves training the RL agent across...
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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...
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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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07/06/2020
Are Labels Necessary for Classifier Accuracy Evaluation?
To calculate the model accuracy on a computer vision task, e.g., object ...
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06/25/2020
Learning to simulate complex scenes
Data simulation engines like Unity are becoming an increasingly importan...
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05/25/2020
Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
Training deep reinforcement learning agents on environments with multipl...
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05/04/2020
Correlating Edge, Pose with Parsing
According to existing studies, human body edge and pose are two benefici...
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04/30/2020
The 4th AI City Challenge
The AI City Challenge was created to accelerate intelligent video analys...
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03/17/2020
Learning to Structure an Image with Few Colors
Color and structure are the two pillars that construct an image. Usually...
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02/25/2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
This paper provides a pair similarity optimization viewpoint on deep fea...
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12/18/2019
Simulating Content Consistent Vehicle Datasets with Attribute Descent
We simulate data using a graphic engine to augment real-world datasets, ...
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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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08/01/2019
Learning to Adapt Invariance in Memory for Person Re-identification
This work considers the problem of unsupervised domain adaptation in per...
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04/15/2019
Joint Discriminative and Generative Learning for Person Re-identification
Person re-identification (re-id) remains challenging due to significant ...
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04/03/2019
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
This paper considers the domain adaptive person re-identification (re-ID...
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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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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...
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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 ...
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12/05/2018
Dissecting Person Re-identification from the Viewpoint of Viewpoint
In person re-identification (re-ID),In person re-identification (re-ID),...
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12/03/2018
Domain Alignment with Triplets
Deep domain adaptation methods can reduce the distribution discrepancy b...
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11/26/2018
Similarity-preserving Image-image Domain Adaptation for Person Re-identification
This article studies the domain adaptation problem in person re-identifi...
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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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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...
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09/07/2018
