Quanyi Wang — accepted AI-conference papers

2026

Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li +7

ICLR 2026poster

Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike image generation, video generation requires a substantially larger number of tokens to produce coherent temporal frames,…

Cited by 0 Source ↗code ↗Scholar ↗

2025

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang +6

CVPR 2025poster

Monocular Depth Estimation (MDE) has emerged as a pivotal task in computer vision, supporting numerous real-world applications. However, deploying accurate depth estimation models on resource-limited edge devices, especially Application-Specific Integrated Circuits (ASICs), is challenging due to the…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗