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20222026
most citedFacial Expression Recognition with Swin Transformer

19 citations · 24 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

SVF-CR: Synchronized Visual-Facial Cross-Refinement for Multimodal Ambivalence and Hesitancy Recognition

Hyein Park, Namho Kim, Junhwa Kim

Ambivalence and hesitancy are subtle behavioral states that are expressed through a combination of verbal content, facial behavior, visual context, and acoustic cues. Effective rec…

cs.CV2025

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving

Seungjun Yu, Seonho Lee, Namho Kim +5

Recent advancements in multimodal large language models (MLLMs) have shown strong understanding of driving scenes, drawing interest in their application to autonomous driving. Howe…

cs.CV2025

Multimodal Alignment with Cross-Attentive GRUs for Fine-Grained Video Understanding

Namho Kim, Junhwa Kim

Fine-grained video classification requires understanding complex spatio-temporal and semantic cues that often exceed the capacity of a single modality. In this paper, we propose a…

cs.CV2023★ 5 cited

Multi Modal Facial Expression Recognition with Transformer-Based Fusion Networks and Dynamic Sampling

Jun-Hwa Kim, Namho Kim, Chee Sun Won

Facial expression recognition is an essential task for various applications, including emotion detection, mental health analysis, and human-machine interactions. In this paper, we…

cs.CV2022

Machine vision for vial positioning detection toward the safe automation of material synthesis

Leslie Ching Ow Tiong, Hyuk Jun Yoo, Na Yeon Kim +3

Although robot-based automation in chemistry laboratories can accelerate the material development process, surveillance-free environments may lead to dangerous accidents primarily…

cs.CV2022★ 19 cited

Facial Expression Recognition with Swin Transformer

Jun-Hwa Kim, Namho Kim, Chee Sun Won

The task of recognizing human facial expressions plays a vital role in various human-related systems, including health care and medical fields. With the recent success of deep lear…