tonylian.com - Long (Tony) Lian's Personal Website

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uc berkeley (71) long lian (1) tony lian (1)

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Long (Tony) Lian

I am an EECS PhD student at UC Berkeley, advised by Prof. Adam Yala and Prof. Trevor Darrell . I completed my B.A. in Computer Science at UC Berkeley, where I had the privilege of being supervised by Prof. Stella Yu during my undergraduate studies. My primary research focus involves data-efficient computer vision algorithms that leverage various forms of supervision or even operate without external supervision. I have also gained valuable research experiences as an intern with Baidu’s distributed deep learn

Publications (*: equal contribution)

Links to tonylian.com (7)

• crossmae.github.io CrossMAE: Rethinking Patch Dependence for Masked Autoencoders
• llm-grounded-video-diffusion.github.io LLM-grounded Video Diffusion Models: Improving Text-to-Video Generation with Large Language Models
• llm-grounded-diffusion.github.io LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
• darrellgroup.github.io Darrell Group at UC Berkeley
• rcf-video.github.io Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and
• self-correcting-llm-diffusion.github.io Self-correcting LLM-controlled Diffusion Models
• bairblog.github.io The Berkeley Artificial Intelligence Research Blog