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08/09/2023
ACE-HetEM for ab initio Heterogenous Cryo-EM 3D Reconstruction
Due to the extremely low signal-to-noise ratio (SNR) and unknown poses (...
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06/01/2023
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting
Pre-trained language models (PLMs) have played an increasing role in mul...
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05/06/2023
Twin support vector quantile regression
We propose a twin support vector quantile regression (TSVQR) to capture ...
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03/13/2023
Evaluation of wait time saving effectiveness of triage algorithms
In the past decade, Artificial Intelligence (AI) algorithms have made pr...
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01/12/2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track
OOD-CV challenge is an out-of-distribution generalization task. To solve...
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01/12/2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track
OOD-CV challenge is an out-of-distribution generalization task. In this ...
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12/30/2022
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors
Machine learning-based segmentation in medical imaging is widely used in...
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10/09/2022
Attention Diversification for Domain Generalization
Convolutional neural networks (CNNs) have demonstrated gratifying result...
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07/05/2022
Universal Domain Adaptive Object Detector
Universal domain adaptive object detection (UniDAOD)is more challenging ...
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06/14/2022
Slimmable Domain Adaptation
Vanilla unsupervised domain adaptation methods tend to optimize the mode...
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06/14/2022
Label Matching Semi-Supervised Object Detection
Semi-supervised object detection has made significant progress with the ...
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06/13/2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Self-training for unsupervised domain adaptive object detection is a cha...
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06/13/2022
Transductive CLIP with Class-Conditional Contrastive Learning
Inspired by the remarkable zero-shot generalization capacity of vision-l...
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06/13/2022
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach
Convolutional neural networks (CNNs) have achieved significant success i...
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05/27/2022
Dynamic Domain Generalization
Domain generalization (DG) is a fundamental yet very challenging researc...
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04/27/2022
Probing Simile Knowledge from Pre-trained Language Models
Simile interpretation (SI) and simile generation (SG) are challenging ta...
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11/19/2021
Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
Conventional domain generalization aims to learn domain invariant repres...
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05/20/2021
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
In this paper, we consider the linear programming (LP) formulation for d...
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02/23/2021
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
It is a strong prerequisite to access source data freely in many existin...
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02/01/2021
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection
False positive is one of the most serious problems brought by agnostic d...
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12/10/2020
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
Unsupervised domain adaptation (UDA) assumes that source and target doma...
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06/20/2020
Unsupervised Image Classification for Deep Representation Learning
Deep clustering against self-supervised learning is a very important and...
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02/28/2020
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
Layer assignment is seldom picked out as an independent research topic i...
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05/29/2019
Fast and Robust Rank Aggregation against Model Misspecification
In rank aggregation, preferences from different users are summarized int...
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03/13/2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Shift operation is an efficient alternative over depthwise separable con...
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12/17/2018
