Sotabase

Career

· PhD Student, University of California, Berkeley2023–
· Bringup Engineer, NeuralAccel Corporation2022–2022
· ELENG 194 Bringup Class: Test Integrated Circuit Chips Designed in Previous Tapeout Classes, University of California, Berkeley2022–
· Independent Undergraduate Researcher, University of California, Berkeley2022–2023
· Research Assistant, University of California, Berkeley2022–2023
· System Engineer, Formula Electric at Berkeley2021–2023
· Intern, Intel Corporation2020–2020
· B.S. Electrical Engineering and Computer Sciences, University of California, Berkeley2019–2022

Publications (216)

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
International Conference on Learning Representations · 2023
1,320
cited
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Computer Vision and Pattern Recognition · 2022
988
cited
Vision Transformer Adapter for Dense Predictions
International Conference on Learning Representations · 2022
770
cited
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Neural Information Processing Systems · 2023
624
cited
Efficient Image Super-Resolution Using Pixel Attention
ECCV Workshops · 2020
429
cited
MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation
European Conference on Computer Vision · 2020
419
cited
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
International Conference on Learning Representations · 2023
415
cited
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
Computer Vision and Pattern Recognition · 2022
385
cited
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Neural Information Processing Systems · 2023
356
cited
LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models
International Journal of Computer Vision · 2023
321
cited
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition
arXiv.org · 2023
316
cited
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
arXiv.org · 2023
298
cited
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
arXiv.org · 2023
282
cited
Frozen CLIP Models are Efficient Video Learners
European Conference on Computer Vision · 2022
255
cited
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition
European Conference on Computer Vision · 2020
237
cited
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · 2023
233
cited
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
International Conference on Learning Representations · 2023
219
cited
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
Computer Vision and Pattern Recognition · 2023
218
cited
Blueprint Separable Residual Network for Efficient Image Super-Resolution
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2022
200
cited
SAM-Med2D
2023
195
cited
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