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20232025
most citedFrom Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

74 citations · 80 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Uniform Discrete Diffusion with Metric Path for Video Generation

Haoge Deng, Ting Pan, Fan Zhang +8

Continuous-space video generation has advanced rapidly, while discrete approaches lag behind due to error accumulation and long-context inconsistency. In this work, we revisit disc…

cs.CV2024

Autoregressive Video Generation without Vector Quantization

Haoge Deng, Ting Pan, Haiwen Diao +6

This paper presents a novel approach that enables autoregressive video generation with high efficiency. We propose to reformulate the video generation problem as a non-quantized au…

cs.CV2024★ 6 cited

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

Yin Chen, Jia Li, Yu Zhang +4

Dynamic facial expression recognition (DFER) infers emotions from the temporal evolution of expressions, unlike static facial expression recognition (SFER), which relies solely on…

cs.CV2023

Tokenize Anything via Prompting

Ting Pan, Lulu Tang, Xinlong Wang +1

We present a unified, promptable model capable of simultaneously segmenting, recognizing, and captioning anything. Unlike SAM, we aim to build a versatile region representation in…

cs.CV2023★ 74 cited

From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

Yin Chen, Jia Li, Shiguang Shan +2

Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as we…