鄒文斌
男,博士,深圳大學(xué)副教授、博士生導(dǎo)師,深圳市孔雀計(jì)劃海外高層次人才,深圳市南山區(qū)領(lǐng)航人才,深圳大學(xué)優(yōu)秀青年教師(荔園優(yōu)青)。擔(dān)任廣東省普通高校智能視覺(jué)感知與理解創(chuàng)新團(tuán)隊(duì)負(fù)責(zé)人、深圳市深大愛(ài)培科智能駕駛技術(shù)研發(fā)中心理事長(zhǎng)、深圳市現(xiàn)代機(jī)器學(xué)習(xí)與應(yīng)用重點(diǎn)實(shí)驗(yàn)室副主任、深圳大學(xué)圖像處理與機(jī)器學(xué)習(xí)理論及應(yīng)用交叉學(xué)科創(chuàng)新團(tuán)隊(duì)副組長(zhǎng)。2010年于北京大學(xué)獲軟件工程專業(yè)碩士學(xué)位,2014年于法國(guó)雷國(guó)立應(yīng)用科學(xué)院獲圖像與信號(hào)處理專業(yè)博士學(xué)位。2014年至2015年在法國(guó)國(guó)立路橋大學(xué)任博士后研究員。2015年7月至今任職于深圳大學(xué)電子與信息工程學(xué)院。長(zhǎng)期從事計(jì)算機(jī)視覺(jué)、圖像處理方面的研究,發(fā)表包括國(guó)際權(quán)威期刊IEEE T-IP、IEEE T-MM、IEEE T-CSVT,國(guó)際頂級(jí)會(huì)議ICCV等在內(nèi)的SCI/EI論文90余篇。主持國(guó)家自然科學(xué)基金3項(xiàng)(面上2項(xiàng)、青年1項(xiàng))、廣東省自然科學(xué)基金面上項(xiàng)目1項(xiàng)、廣東省教育廳創(chuàng)新團(tuán)隊(duì)項(xiàng)目1項(xiàng),參與國(guó)家自然科學(xué)基金面上項(xiàng)目2項(xiàng)。
研究興趣:
計(jì)算機(jī)視覺(jué)、圖像處理、深度學(xué)習(xí)
招生方向:
計(jì)算機(jī)視覺(jué)(博士后)、信息與通信工程(博士、學(xué)碩)、電子與通信工程(專碩)
培養(yǎng)目標(biāo):
健全的人格、良好的書(shū)面和口頭表達(dá)能力、獨(dú)立的科研能力
教授課程:
《計(jì)算機(jī)視覺(jué)算法及其應(yīng)用》《Matlab與Python編程》《C程序設(shè)計(jì)》
獲獎(jiǎng)信息:
1.深圳市孔雀計(jì)劃海外高層次人才
2.深圳市南山區(qū)領(lǐng)航人才
3.深圳大學(xué)優(yōu)秀青年教師(荔園優(yōu)青,2016年至今)
4.2019年廣東高校科技成果轉(zhuǎn)化路演大賽二等獎(jiǎng)
5.2019年廣東“眾創(chuàng)杯”創(chuàng)業(yè)創(chuàng)新大賽金獎(jiǎng)
6. 2020年深圳市坪山區(qū)創(chuàng)業(yè)創(chuàng)新大賽二等獎(jiǎng)
7.國(guó)際挑戰(zhàn)賽ECCV 2018 ApolloScape: Vision-based Navigation for Autonomous Driving 第一名
8.國(guó)際挑戰(zhàn)賽CVPR 2018 WAD Video Segmentation Challenge 第三名
近五年主持科研項(xiàng)目清單:
1. 國(guó)家自然科學(xué)基金面上項(xiàng)目,批準(zhǔn)號(hào):62171294,面向視障出行的復(fù)雜道路環(huán)境感知,2022/01-2025/12
1. 國(guó)家自然科學(xué)基金面上項(xiàng)目,批準(zhǔn)號(hào):61771321,時(shí)空約束的協(xié)同視覺(jué)顯著性檢測(cè)與目標(biāo)跟蹤,2018/01-2021/12
2. 國(guó)家自然科學(xué)基金青年項(xiàng)目,批準(zhǔn)號(hào):61401287, 聯(lián)合顯著性檢測(cè)和對(duì)象分割的算法研究,2015/01-2017/12
3. 廣東省教育廳創(chuàng)新團(tuán)隊(duì),批準(zhǔn)號(hào):2018KCXTD027,智能視覺(jué)感知與理解,2019/07-2022/06
4. 廣東省自然科學(xué)基金--面上項(xiàng)目,批準(zhǔn)號(hào):2020A1515010959,基于視頻顯著性檢測(cè)引導(dǎo)的目標(biāo)跟蹤算法研究,2019/10-2022/09
5.深圳市殘疾人綜合服務(wù)中心--康復(fù)輔助器具項(xiàng)目,批準(zhǔn)號(hào):F02,便于盲人出行的無(wú)障礙導(dǎo)盲系統(tǒng),2020/06-2021/04,
6. 深圳市海外高層次人才創(chuàng)新創(chuàng)業(yè)專項(xiàng)資金技術(shù)創(chuàng)新項(xiàng)目,批準(zhǔn)號(hào):KQJSCX20170327151357330,海量視頻的協(xié)同顯著性檢測(cè)與目標(biāo)跟蹤關(guān)鍵算法研究,2017/07-2020/06
7. 深圳市新引進(jìn)高端人才科研啟動(dòng)項(xiàng)目,面向無(wú)人機(jī)的運(yùn)動(dòng)目標(biāo)檢測(cè)、識(shí)別與跟蹤算法的研究,2016/07-2019/06
8. 深圳市科創(chuàng)委基礎(chǔ)研究項(xiàng)目,面向視頻大數(shù)據(jù)的快速視覺(jué)顯著性檢測(cè)及目標(biāo)分割算法,2016/07-2018/06
9. 企業(yè)橫向,智能駕駛技術(shù)研發(fā), 2016-2021
部分代表性期刊論文:
[1] W. Zou et al. “Unsupervised Joint Salient Region Detection and Object Segmentation”,IEEE Transactions on Image Processing, (23) 3858 – 3873,2015
[2] W. Zou et al. “Online Glocal Transfer for Automatic Figure-ground Segmentation”,IEEE Transactions on Image Processing, (23) 3858 – 3873,2014
[3] Y. Chen, W. Zou* et al. "SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection",IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3345-3357, July 2018.
[4] Y. Yuan#, W. Zou# et al. “A Robust and Efficient Approach to License Plate Detection”,IEEE Transactions on Image Processing, 2017 (3) 1102 - 1114
[5] Z. Liu#, W. Zou# et al. “Saliency Tree: A Novel Saliency Detection Framework”,IEEE Transactions on Image Processing, (5) 1937 – 1952,2014
[6] Y. Tang, W. Zou* et al. " Weakly Supervised Salient Object Detection with Spatiotemporal Cascade Neural Networks",IEEE Transactions on Circuits and Systems for VideoTechnology, 2019
[7] Z. Jin, T. Tillo, W. Zou* et al. “Robust Plane Detection using Depth Information from a Consumer Depth Camera”,IEEE Transactions on Circuits and Systems for Video Technology, 2020
[8] B. Lei, W. Hou, W. Zou* et al. "Longitudinal score prediction for Alzheimer’s disease based on ensemble correntropy and spatial–temporal constraint",Brain Imaging and Behavior, DOI: 10.1007/s11682-018-9834-z
[9] S. Jiao, W. Zou* “High-resolution parallel phase-shifting digital holography using a low-resolution phase-shifting array device based on image inpainting”,Optics Letters, (42) 482-485,2017
[10] S. Jiao, Z. Zhuang, W. Zou* “Fast computer generated hologram calculation with a mini look-up table incorporated with radial symmetric interpolation”,Optics Express, (25) 112-123,2017
[11] S. Jiao, P. Tsang, T. Poon, J. Liu, W. Zou et al. “Enhanced Autofocusing in Optical Scanning Holography Based on Hologram Decomposition”,IEEE Transactions on Industrial Informatics, (13) 2455-2463, 2017.
[12] C. Xiang, L. Zhang, W. Zou* et al. “MS-CapsNet: A Novel Multi-Scale Capsule Network”,IEEE Signal Processing Letters, DOI: 10.1109/LSP.2018.2873892, 2018
[13] S. Jiao, C. Zhou, Y. Shi, W. Zou, Xia Li, “Review on optical image hiding and watermarking techniques”,Optics & Laser Technology, Volume 109, 2019, Pages 370-380
[15] S. Jiao, W. Zou* et al. “QR code based noise-free optical encryption and decryption of a gray scale image”,Optics Communications, (387) 235-240,2017
[14] S. Jiao, C. Zhou, W. Zou*et al. “Shift, rotation and scale invariant optical information authentication with binary digital holography”,Optics Communications, (405)53-59,2017
[15] Z. Zhuang, S. Jiao, W. Zou*et al. “Embedding intensity image into a binary hologram with strong noise resistant capability”,Optics Communications, (11)245-251, 2017
[16] S. Jiao, Z. Zhuang, C. Zhou, W. Zou*, X. Li, “Security enhancement of double random phase encryption with a hidden key against ciphertext only attack”,Optics Communications, 418, 106-114, 2018
[17] S. Jiao, G. Li, C. Zhou, W. Zou*et al. “Special ciphertext only attack to double random phase encryption by plaintext shifting with speckle correlation”,Journal of the Optical Society of America A: Optics, Image Science & Vision, (35) A1-A6, 2018
[18] S. Jiao, Z. Jin, C. Zhou, W. Zou*et al. “Is QR code an optimal choice of data container in optical encryption from an error correction coding perspective?”,Journal of the Optical Society of America A: Optics, Image Science & Vision, (35) A23-A29, 2018
[19] W. Zou*et al. “Automatic Foreground Extraction via joint CRF and Online Learning”,Electronics Letter, 49 (18), 1140-1142, 2013
[20] S. Jiao, C. Zhou, W. Zou*, X. Li, “Non-destructive ghost authentication for single-pixel imaging in mass user environment”,Laser Physics28 (9), 2018
[21] H. Lei, H. Xie, W. Zou*et al. “Hierarchical Saliency Detection via Probabilistic Object Boundaries”,International Journal of Pattern Recognition and Artificial Intelligence, (6)1-23, 2017
部分代表性會(huì)議論文:
[1]W. Zou*et al. “HARF: Hierarchy-associated Rich Features for Salient Object Detection”,IEEE International Conference on Computer Vision, 2015
[2]W. Zou*et al. “Segmentation Driven Low-rank Matrix Recovery for Saliency Detection”,British Machine Vision Conference, 2013
[3]W. Zou*et al. “Semantic image segmentation using region bank”,International Conference on Pattern Recognition,2012
[4]W. Zou*et al. “Semantic Segmentation via Sparse Coding over Hierarchical Regions”,IEEE International Conference on Image Processing, 2012
[5]D. Wu,W. Zou*et al. “Kernalised Multi-resolution Convnet for Visual Tracking”,IEEE Conference on Computer Vision and Pattern Recognition, 2017
[6]Y. Tang,W. Zou*et al. "Multi-Scale Spatiotemporal Conv-LSTM Network for Video Saliency Detection", ACMInternational Conference on Multimedia Retrieval, 2018
[7]Y. Chen,W. Zou*et al. "Video Salient Object Detection via MultipleTime-scale Analysis",IEEE International Conference on Image Processing, 2018
[8]Y. Tang,W. Zou*et al. “Multi-modal Metric Learning for Vehicle Re-identification in Traffic Surveillance Environment”,IEEE International Conference on Image Processing, 2017
[9]Z. Jin,W. Zou*et al. “A CNN Cascade for Quality Enhancement of Compressed Depth images”,IEEE International Conference on Visual Communication and Image Processing, 2017
專利:
(1) 一種基于二元分割樹(shù)的區(qū)域特征描述方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>201510924918.X
(2) 基于多目標(biāo)函數(shù)深度學(xué)習(xí)的車輛重識(shí)別方法及裝置,申請(qǐng)?zhí)枺?/span>201710015898.3
(3) 一種基于時(shí)空約束的視頻顯著性檢測(cè)方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>201710437947.2
(4) 一種基于時(shí)空約束的視頻顯著性檢測(cè)方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>PCT/CN2017/087709
(5) 一種灰度圖像編碼隱藏方法及裝置、解碼方法及裝置,申請(qǐng)?zhí)枺?/span>201710451885.0
(6) 一種基于多分辨率神經(jīng)網(wǎng)絡(luò)的目標(biāo)跟蹤方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>201710570207.6
(7) 基于光學(xué)加密和解密技術(shù)的圖像加密和解密方法及裝置,申請(qǐng)?zhí)枺?/span>PCT/CN2016/105931
(8) 基于光學(xué)加密和解密技術(shù)的圖像加密和解密方法及裝置,申請(qǐng)?zhí)枺?/span>201611036562.7
(9) 基于全卷積神經(jīng)網(wǎng)絡(luò)的壓縮雙目圖像質(zhì)量增強(qiáng)方法及裝置,申請(qǐng)?zhí)枺?/span>201710600916.4
(10) 基于全卷積神經(jīng)網(wǎng)絡(luò)的壓縮深度圖質(zhì)量增強(qiáng)方法及裝置,申請(qǐng)?zhí)枺?/span>201710602293.4
(11) 一種魯棒的基于深度信息的平面檢測(cè)方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>201710866367.5
(12) 一種魯棒的基于深度信息的平面檢測(cè)方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>PCT/CN2017/102947
(13) 圖像信息的隱藏方法及裝置、解密方法及裝置,申請(qǐng)?zhí)枺?/span>201810792079.4
(14) 圖像信息的隱藏方法及裝置、解密方法及裝置,申請(qǐng)?zhí)枺?/span>PCT/CN2018/096149
(15) 軌跡預(yù)測(cè)方法及裝置,申請(qǐng)?zhí)枺?/span>PCT/CN2018/095144
(16) 軌跡預(yù)測(cè)方法及裝置,申請(qǐng)?zhí)枺?/span>201810752554.5
(17) 基于弱監(jiān)督時(shí)空級(jí)聯(lián)神經(jīng)網(wǎng)絡(luò)的顯著目標(biāo)檢測(cè)方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>PCT/CN2018/071902
(18) 基于弱監(jiān)督時(shí)空級(jí)聯(lián)神經(jīng)網(wǎng)絡(luò)的顯著目標(biāo)檢測(cè)方法及系統(tǒng),申請(qǐng)?zhí)枺?/span>2018100186723
(19) 一種加/解密方法、加/解密端及雙隨機(jī)相位加解密系統(tǒng),申請(qǐng)?zhí)枺?/span>PCT/CN2017/113261
(20) 一種加/解密方法、加/解密端及雙隨機(jī)相位加解密系統(tǒng),申請(qǐng)?zhí)枺?/span>201711213115.9
聯(lián)系方式:
辦公室:電子與信息工程學(xué)院N605
E-mail:wzou@szu.edu.cn