Tianchen Zhao 赵天辰 (Ziu Tinsan)

Phd. Student at Tsinghua University

Tsinghua University

Biography

Tianchen Zhao is a Phd. student in NICS-EFC Lab at Dept. EE, Tsinghua University, supervised by Prof. Yu Wang. He also works closely with Dr. Xuefei Ning. He got his bachelor and master degree in the Dept. EE Beihang University in 2020 and 2023. His primary research focus is efficient deep learning and software-hardware co-optimization.

News

[2024-03] Our paper FlashEval is accepted at CVPR24
[2023-12] One co-authored paper is accepted at DATE24
[2023-09] Give a talk at TechBeat about our work about Efficient 3D Perception.
[2023-09] Officially become a member of NICS-EFC Lab, starting my Phd. program.
[2023-07] Our paper Ada3D is accepted at ICCV23, check the Project Page.
[2023-05] Join Infinigence as a research intern.

Interests

Efficient Deep Learning
Computer Vision

Education

PhD in Electrical Engineering, 2023
Tsinghua University
MS in Electrical Engineering, 2020
Beihang University
BSc in Electrical Engineering, 2016
Beihang University

Publications

[CVPR 24] FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

We propose an efficient diffusion model evaluation method that condense the textual evaluation dataset, achieving evaluation quality with 5x larger data size.

Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang

[CVPR 24] FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

[ICCV 23] Ada3D: Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

We propose an adaptive inference method for 3D perception that could reduce 60% 3D voxels, 80% 2D pixels, achieving 5x FLOPs/Memory and 1.4x Latency.

Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Linfeng Zhang, Yali Zhao, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

[ICCV 23] Ada3D: Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

[CVPR 22] CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance

We propose CodedVTR (Codebook-based Voxel TRansformer), which improves data efficiency and generalization ability for 3D sparse voxel transformers.

Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang

[CVPR 22] CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance

[ECCV 20] DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

We propose DSA(differentiable sparsity allocation), which enalbes the differntial allocation for budgted pruning, acclearting the pruning process by 1.5x.

Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang

[ECCV 20] DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Recent Events

Visit the ITIV Lab at KIT(Karlsruhe Institute of Technology).

Oct 10, 2023 10:00 AM

Visit at KIT

Shared our ICCV23’ work Ada3D at TechBeat.

Sep 21, 2023 8:00 PM

TechBeat Talk

Gallery