Di Huang  ()

Ph.D., Professor, IEEE Senior Member and CCF/CAAI Distinguished Member
Intelligent Recognition and Image Processing Lab
School of Computer Science and Engineering
Beihang University (formerly known as Beijing University of Aeronautics and Astronautics, BUAA)

Address: Room G906, New Main Building, No.37, Xueyuan Road, Haidian District, Beijing, China, 100191
Tel.: +86-10-82316379;  Email: dhuang (at) buaa (dot) edu (dot) cn

[Work Experience][Education][Research Interests][Publications][Projects][Professional Activities][Teaching][Honors and Awards][Hobbies]

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下载 Our paper, titled “SA3WT: Adaptive Wavelet-based Transformer with Self-paced Auto Augmentation for Face Forgery Detection” is accepted by International Journal of Computer Vision. (23 Apr. 2024).

下载 Our paper, titled “3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior” is accepted in Round 2 by IEEE International Conference on Automatic Face and Gesture Recognition, 2024 (6 Mar. 2024).

下载 Our paper, titled “Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge” is accepted by IEEE Conference on Computer Vision and Pattern Recognition, 2024 (27 Feb. 2024).

下载 Our paper, titled “InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization” is accepted by IEEE Conference on Computer Vision and Pattern Recognition, 2024 (27 Feb. 2024).

下载 Our paper, titled “Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation” is accepted by IEEE International Conference on Robotics and Automation, 2024 (29 Jan. 2024).

下载 Our paper, titled “Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification” is accepted for Spotlight presentation by International Conference on Learning Representations, 2024 (16 Jan. 2024).

下载 Our paper, titled “DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition” is accepted in Round 1 by IEEE International Conference on Automatic Face and Gesture Recognition, 2024 (14 Dec. 2023).

Work Experience

Education

Research Interests

Computer Vision; Pattern Recognition; Representation Learning; Biometrics; etc.

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Teaching

Honors and Awards

Non-Academic Hobbies

Racing sports; Traveling; Photography; etc.