3 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
Xuan Shen, Weize Ma, Jing Liu +9
Monocular Depth Estimation (MDE) has emerged as a pivotal task in computer vision, supporting numerous real-world applications. However, deploying accurate depth estimation models…
cs.LG2023★ 3 cited
A Survey on Efficient Training of Transformers
Bohan Zhuang, Jing Liu, Zizheng Pan +3
Recent advances in Transformers have come with a huge requirement on computing resources, highlighting the importance of developing efficient training techniques to make Transforme…
cs.CV2022★ 3 cited
FocusFormer: Focusing on What We Need via Architecture Sampler
Jing Liu, Jianfei Cai, Bohan Zhuang
Vision Transformers (ViTs) have underpinned the recent breakthroughs in computer vision. However, designing the architectures of ViTs is laborious and heavily relies on expert know…