Invited Talks
Enable Explicit 3D/4D Controls for Pre-trained Generative Models [Slides]
Learning from Imperfect Data for 2/3/4D
Continual Learning with Large Pre-trained Models
Learning from Imperfect Data
- Computer Science, University of Illinois Chicago, September 2025.
- Computer Science and Engineering, Michigan State University, September 2025.
- Coordinated Science Laboratory, University of Illinois Urbana-Champaign, April 2025.
- Computer Science, University of Illinois Urbana-Champaign, October 2024.
- Berkeley Artificial Intelligence Research Lab (BAIR), UC Berkeley, October 2023.
- Computational Imaging Seminar, Purdue University, August 2023.
- Vision and Graphics Seminar, Massachusetts Institute of Technology, April 2023.
- External Speaker Series, University of Illinois Urbana-Champaign, April 2023.
- VIGR Seminar, Columbia University, March 2023.
- CCVL Lab, Johns Hopkins University, January 2023.
- Visual Geometry Group (VGG), University of Oxford, November 2022.
- Fudan Vision and Learning Laboratory, Fudan University, September 2022.
- NExT++ Research Center, National University of Singapore, April 2022.
- Singapore Management University, September 2020.
Learning with 3D Generative Models
- Guest Lecture for CSE 290D, UC Santa Cruz, October 2024.
- Guest Lecture for EECS 542, University of Michigan, September 2024.
Generating Images with 3D Annotations Using Diffusion Models
- CVPR 2024 Area Chair Workshop, June 2024.
Meta-transfer Learning for Few-shot Learning
- Guest Lecture for CS-625, École Polytechnique Fédérale de Lausanne, March 2023.
Learning to Self-train for Semi-supervised Few-shot Classification
- NeurIPS Official Meetups in Beijing, December 2019.
Multi-class Incremental Learning
- Nanyang Technological University, July 2019.
