Search Results for author: Wenqiang Zhang

Found 19 papers, 10 papers with code

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

4 code implementations12 Apr 2022 Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen

Although vision transformers (ViTs) have achieved great success in computer vision, the heavy computational cost hampers their applications to dense prediction tasks such as semantic segmentation on mobile devices.

Semantic Segmentation

Weakly-Supervised Salient Object Detection Using Point Supervison

1 code implementation22 Mar 2022 Shuyong Gao, Wei zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang

Then we develop a transformer-based point-supervised saliency detection model to produce the first round of saliency maps.

Object Detection Saliency Detection +1

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

no code implementations17 Mar 2022 Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei zhang, Weifeng Ge, Wenqiang Zhang

Current benchmarks for facial expression recognition (FER) mainly focus on static images, while there are limited datasets for FER in videos.

Facial Expression Recognition

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

1 code implementation17 Mar 2022 Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang

To improve data efficiency, we propose hierarchically cascaded transformers that exploit intrinsic image structures through spectral tokens pooling and optimize the learnable parameters through latent attribute surrogates.

 Ranked #1 on Few-Shot Learning on Mini-Imagenet 5-way (1-shot) (5 way 1~2 shot metric)

Few-Shot Learning Self-Supervised Learning

Towards Practical Certifiable Patch Defense with Vision Transformer

no code implementations16 Mar 2022 Zhaoyu Chen, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Wenqiang Zhang

To move towards a practical certifiable patch defense, we introduce Vision Transformer (ViT) into the framework of Derandomized Smoothing (DS).

Efficient universal shuffle attack for visual object tracking

no code implementations14 Mar 2022 Siao Liu, Zhaoyu Chen, Wei Li, Jiwei Zhu, Jiafeng Wang, Wenqiang Zhang, Zhongxue Gan

Recently, adversarial attacks have been applied in visual object tracking to deceive deep trackers by injecting imperceptible perturbations into video frames.

Adversarial Attack Visual Object Tracking

Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory

no code implementations17 Aug 2021 Weier Wan, Rajkumar Kubendran, Clemens Schaefer, S. Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H. -S. Philip Wong, Gert Cauwenberghs

Realizing today's cloud-level artificial intelligence functionalities directly on devices distributed at the edge of the internet calls for edge hardware capable of processing multiple modalities of sensory data (e. g. video, audio) at unprecedented energy-efficiency.

Image Classification Image Reconstruction

Dual Path Learning for Domain Adaptation of Semantic Segmentation

1 code implementation ICCV 2021 Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Fang Wen, Wenqiang Zhang

In this paper, based on the observation that domain adaptation frameworks performed in the source and target domain are almost complementary in terms of image translation and SSL, we propose a novel dual path learning (DPL) framework to alleviate visual inconsistency.

Domain Adaptation Self-Supervised Learning +3

On the Evaluation of Commit Message Generation Models: An Experimental Study

1 code implementation12 Jul 2021 Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang

We find that: (1) Different variants of the BLEU metric are used in previous works, which affects the evaluation and understanding of existing methods.

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph

no code implementations NAACL 2021 Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang

That is, we can only access training data in a high-resource language, while need to answer multilingual questions without any labeled data in target languages.

Bilingual Lexicon Induction Question Answering +1

RPATTACK: Refined Patch Attack on General Object Detectors

1 code implementation23 Mar 2021 Hao Huang, Yongtao Wang, Zhaoyu Chen, Zhi Tang, Wenqiang Zhang, Kai-Kuang Ma

Firstly, we propose a patch selection and refining scheme to find the pixels which have the greatest importance for attack and remove the inconsequential perturbations gradually.

VAENAS: Sampling Matters in Neural Architecture Search

no code implementations25 Sep 2019 Shizheng Qin, Yichen Zhu, Pengfei Hou, Xiangyu Zhang, Wenqiang Zhang, Jian Sun

In this paper, we propose a learnable sampling module based on variational auto-encoder (VAE) for neural architecture search (NAS), named as VAENAS, which can be easily embedded into existing weight sharing NAS framework, e. g., one-shot approach and gradient-based approach, and significantly improve the performance of searching results.

Neural Architecture Search

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

1 code implementation7 Jul 2019 Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta

Underwater images play a key role in ocean exploration, but often suffer from severe quality degradation due to light absorption and scattering in water medium.

Image Enhancement Image Restoration

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