3 citations · 5 across the 4 of their papers we have counts for
4 papers
Vision Foundation Models as Generalist Tokenizers for Image Generation
Anlin Zheng, Qi Han, Xin Wen +5
In this work, we explore the largely unexplored direction of building a generalist image tokenizer directly on top of a frozen vision foundation model (VFM). To build this tokenize…
Failure Modes for Deep Learning-Based Online Mapping: How to Measure and Address Them
Michael Hubbertz, Qi Han, Tobias Meisen
Deep learning-based online mapping has emerged as a cornerstone of autonomous driving, yet these models frequently fail to generalize beyond familiar environments. We propose a fra…
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
Haibao Yu, Qi Han, Jianbo Li +3
Emergent hardwares can support mixed precision CNN models inference that assign different bitwidths for different layers. Learning to find an optimal mixed precision model that can…
GDRQ: Group-based Distribution Reshaping for Quantization
Haibao Yu, Tuopu Wen, Guangliang Cheng +3
Low-bit quantization is challenging to maintain high performance with limited model capacity (e.g., 4-bit for both weights and activations). Naturally, the distribution of both wei…