Search Results for author: Liang Wan

Found 22 papers, 10 papers with code

Long-Tailed Learning as Multi-Objective Optimization

no code implementations31 Oct 2023 Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng

Real-world data is extremely imbalanced and presents a long-tailed distribution, resulting in models that are biased towards classes with sufficient samples and perform poorly on rare classes.

Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation

1 code implementation31 Oct 2023 Liang Liao, Liang Wan, Mingsheng Liu, Shusheng Li

To be precise, we use the Dual-Guided Attention (DGA) module we proposed to replace some multi-scale transformations with the calculation of attention which means we only use several attention layers of near linear complexity to achieve performance comparable to frequently-used multi-layer fusion.

Real-Time Semantic Segmentation

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer

1 code implementation21 Aug 2023 Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang

Deep neural networks are vulnerable to adversarial examples crafted by applying human-imperceptible perturbations on clean inputs.

Domain Generalization Style Transfer

Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement

no code implementations15 Jun 2023 Liang Wan, Hongqing Liu, Yi Zhou, Jie Ji

By combining the DPRNN module with Convolution Recurrent Network (CRN), the DPCRN obtained a promising performance in speech separation with a limited model size.

Speech Enhancement Speech Separation

HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation

1 code implementation18 Mar 2023 Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan

Masked image modeling (MIM) with transformer backbones has recently been exploited as a powerful self-supervised pre-training technique.

Contrastive Learning Image Segmentation +3

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

1 code implementation18 Mar 2023 Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu

Our experimental results also indicate the universality and effectiveness of the proposed model.

Denoising Segmentation

Learning Physical-Spatio-Temporal Features for Video Shadow Removal

no code implementations16 Mar 2023 Zhihao Chen, Liang Wan, Yefan Xiao, Lei Zhu, Huazhu Fu

Then, we develop a progressive aggregation module to enhance the spatio and temporal characteristics of features maps, and effectively integrate the three kinds of features.

Shadow Removal Video Restoration

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

no code implementations14 Mar 2023 Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Cheng, Choon Hua Thng, Xinxing Xu, Yong liu, Huazhu Fu

To enable MedRPG to locate nuanced medical findings with better region-phrase correspondences, we further propose Tri-attention Context contrastive alignment (TaCo).

Phrase Grounding Visual Grounding

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning

no code implementations ICCV 2023 Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng

In Parallel Continual Learning (PCL), the parallel multiple tasks start and end training unpredictably, thus suffering from training conflict and catastrophic forgetting issues.

Continual Learning

Exploring Example Influence in Continual Learning

1 code implementation25 Sep 2022 Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan

Continual Learning (CL) sequentially learns new tasks like human beings, with the goal to achieve better Stability (S, remembering past tasks) and Plasticity (P, adapting to new tasks).

Continual Learning

Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

1 code implementation4 Sep 2022 Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu

Preoperative and noninvasive prediction of the meningioma grade is important in clinical practice, as it directly influences the clinical decision making.

Contrastive Learning Decision Making +1

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

1 code implementation31 Aug 2022 Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu

Multi-modal MR imaging is routinely used in clinical practice to diagnose and investigate brain tumors by providing rich complementary information.

Brain Tumor Segmentation MRI segmentation +2

Rethinking Rehearsal in Lifelong Learning: Does An Example Contribute the Plasticity or Stability?

no code implementations29 Sep 2021 Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan

Traditionally, the primary goal of LL is to achieve the trade-off between the Stability (remembering past tasks) and Plasticity (adapting to new tasks).

Multi-Task Learning

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

1 code implementation6 Aug 2021 Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng

Our DID-Net predicts the three component maps by progressively integrating features across scales, and refines each map by passing an independent refinement network.

Image Dehazing Single Image Dehazing

Triple-cooperative Video Shadow Detection

1 code implementation CVPR 2021 Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin

The bottleneck is the lack of a well-established dataset with high-quality annotations for video shadow detection.

Saliency Detection Semantic Segmentation +3

Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection

no code implementations22 Feb 2020 Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Xiaowei Wang, Ping Tan

Besides, we also theoretically prove the invariance of our ALR approach to the ambiguity of normal and lighting decomposition.

Change Detection Navigate

Effects of Blur and Deblurring to Visual Object Tracking

no code implementations21 Aug 2019 Qing Guo, Wei Feng, Zhihao Chen, Ruijun Gao, Liang Wan, Song Wang

In this paper, we address these two problems by constructing a Blurred Video Tracking benchmark, which contains a variety of videos with different levels of motion blurs, as well as ground truth tracking results for evaluating trackers.

Deblurring Image Deblurring +1

An Embarrassingly Simple Approach for Knowledge Distillation

1 code implementation5 Dec 2018 Mengya Gao, Yujun Shen, Quanquan Li, Junjie Yan, Liang Wan, Dahua Lin, Chen Change Loy, Xiaoou Tang

Knowledge Distillation (KD) aims at improving the performance of a low-capacity student model by inheriting knowledge from a high-capacity teacher model.

Face Recognition Knowledge Distillation +3

Learning Dynamic Siamese Network for Visual Object Tracking

no code implementations ICCV 2017 Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang

How to effectively learn temporal variation of target appearance, to exclude the interference of cluttered background, while maintaining real-time response, is an essential problem of visual object tracking.

Visual Object Tracking

Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations

no code implementations ICCV 2015 Wei Feng, Fei-Peng Tian, Qian Zhang, Nan Zhang, Liang Wan, Jizhou Sun

To guarantee detection sensitivity and accuracy of minute changes, in an observation, we capture a group of images under multiple illuminations, which need only to be roughly aligned to the last time lighting conditions.

Change Detection

Maximum Cohesive Grid of Superpixels for Fast Object Localization

no code implementations CVPR 2013 Liang Li, Wei Feng, Liang Wan, Jiawan Zhang

For this purpose, we aim at constructing maximum cohesive SP-grid, which is composed of real nodes, i. e. SPs, and dummy nodes that are meaningless in the image with only position-taking function in the grid.

Object Localization Superpixels

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