郁盛浩 | 个人主页

郁盛浩

Sun, 06 Mar 2022 00:00:00 +0000

研究领域

计算机视觉，行为识别，异常行为检测

毕业去向

宁波鄞州区下属事业单位

在校期间荣誉

宁波大学学业奖学金，卓创研究生科研成果奖

已发表论文

[1] S. Yu, C. Wang, Q. Mao, et al. “Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos.” IEEE Signal Processing Letters, 2021, 28: 2137-2141.

[2]Q. Mao, C. Wang, S. Yu, et al. “Zero-shot object detection with attributes-based category similarity.” IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 67(5): 921-925.

[3] W. Liu, C. Wang, S. Yu, et al. “Novel Instance Mining With Pseudo-Margin Evaluation For Few-Shot Object Detection.” (International Conference on Acoustics, Speech and Signal Processing 2022).

在投论文

[1] S. Yu, C. Wang et al. “TCA-VAD: Temporal Context Alignment Network for Weakly Supervised Video Anomly Detection.” (The IEEE International Conference on Multimedia & Expo在投， CCF-B类会议).

[2] Y. Gong,C. Wang, S. Yu, et al. “Multi-Scale Continuity-Aware Refinement Network for Weakly Supervised Video Anomaly Detection.” (The IEEE International Conference on Multimedia & Expo在投， CCF-B类会议).

个人兴趣爱好

游泳，羽毛球，长跑

祝贺车皆咏、龚益玲和郁盛浩的论文被ICME 2022 (CCF-B) 接收

Sun, 06 Mar 2022 00:00:00 +0000

恭喜车皆咏和龚益玲成功上岸，郁盛浩毕业了再水一篇

如果Accept List (http://2022.ieeeicme.org/assets/accept_list.pdf) 没出错的话，居然三篇全中，这次摸奖的运气真的太好了。

投稿前时间太紧，有2篇都没有细改，论文的实际水平还是有欠缺的。

论文：

1401： MULTI-SCALE CONTINUITY-AWARE REFINEMENT NETWORK FOR WEAKLY SUPERVISED VIDEO ANOMALY DETECTION

1405： TCA-VAD: TEMPORAL CONTEXT ALIGNMENT NETWORK FOR WEAKLY SUPERVISED VIDEO ANOMLY DETECTION

1430： PRUNING DYNAMIC GROUP CONVOLUTION WITH STATIC SUBSTITUTE

紧接的3月底4月初的ACM MM 2022 (CCF-A)要继续积极参与摸奖了，后续大家投顶会和Trans应该也会更有信心了。

Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection

Fri, 25 Feb 2022 00:00:00 +0000

Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos

Fri, 01 Oct 2021 00:00:00 +0000

祝贺郁盛浩论文被IEEE Signal Processing Letters接收

Fri, 01 Oct 2021 00:00:00 +0000

恭喜郁盛浩

论文 “Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos” 被 ISCAS 2020 和 IEEE Signal Processing Letters 接收。

可以安心整理毕业论文，找个996的好工作了。

Zero-Shot Object Detection with Attributes based Category Similarity

Fri, 01 May 2020 00:00:00 +0000

提取码: UxQp