跳转到页面的主要内容部分
Tingting Jiang
北京大学计算机学院副教授
2641 No.2 Science Building, Peking University, Beijing, China
ttjiang@pku.edu.cn
(email)
搜索
课程
新闻
科研成果
相关链接
首页
/
科研成果
/
科研成果 by Year: 2017
2017
Heng W, Jiang T
.
Surveillance Video Quality Assessment Based on Face Recognition
, in
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23 - 27, 2017
. ACM; 2017:520–528.
访问链接
Yang S, Zhao J, Jiang T, Wang J, Rahim T, Zhang B, Xu Z, Fei Z
.
An objective assessment method based on multi-level factors for panoramic videos
, in
2017 IEEE Visual Communications and Image Processing, VCIP 2017, St. Petersburg, FL, USA, December 10-13, 2017
. IEEE; 2017:1–4.
访问链接
Fan Z, Jiang T, Huang T
.
Active Sampling Exploiting Reliable Informativeness for Subjective Image Quality Assessment Based on Pairwise Comparison
. IEEE Trans. Multim. [Internet]. 2017;19:2720–2735.
访问链接
Heng W, Jiang T
.
From image quality to patch quality: An Image-Patch Model for No-Reference image quality assessment
, in
2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017
. IEEE; 2017:1238–1242.
访问链接
Fan Z, Chen C, Jiang T
.
A semi-automatic editing method for surgery videos
, in
2017 IEEE International Conference on Multimedia & Expo Workshops, ICME Workshops, Hong Kong, China, July 10-14, 2017
. IEEE Computer Society; 2017:115–120.
访问链接
Li D, Jiang T, Jiang M
.
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images
, in
Proceedings of the 2017 ACM on Multimedia Conference, MM 2017, Mountain View, CA, USA, October 23-27, 2017
. ACM; 2017:378–386.
访问链接
成果类型
Conference Paper
(59)
期刊论文
(21)
成果概览
2025
(1)
2024
(8)
2023
(6)
2022
(6)
2021
(6)
2020
(7)
2019
(8)
2018
(4)
2017
(6)
2016
(3)
1 of 2
››
Recent Publications
DiffAct++: Diffusion Action Segmentation
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
VIPNet: Combining Viewpoint Information and Shape Priors for Instant Multi-view 3D Reconstruction
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
PS-Net: human perception-guided segmentation network for EM cell membrane
More Publicaitions