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Works13 from public data
- End-to-End Video Gaze Estimation via Capturing Head-Face-Eye Spatial-Temporal Interaction Context28
A new method, Multi-Clue Gaze (MCGaze), to facilitate video gaze estimation via capturing spatial-temporal interaction context among head, face, and eye in an end-to-end learning way, which has not been well concerned yet.
- Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video14
A large-scale dataset termed MPEblink that involves 686 untrimmed videos with 8748 eyeblink events is proposed under multi- person conditions and a real-time multi-person eyeblink detection method is proposed that outperforms existing approaches by large margins and with a high inference speed.
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- Factorized Learning for Temporally Grounded Video-Language Models6
This work proposes D^{2}$ VLM, a framework that decouples the learning of these two tasks while also emphasizing their inherent dependency, and introduces evidence tokens for evidence grounding, which emphasize event-level visual semantic capture beyond the focus on timestamp representation in existing works.
- Offloading Strategy for Edge Computing Tasks Based on Cache Mechanism6
Simulation results show that this algorithm can effectively reduce the latency and energy consumption of edge systems and use iFogSim simulator for simulation experiments.
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- DeFB: Decomposed Feature Learning for Real-Time Multi-Person Eyeblink Detection in Untrimmed In-the-Wild Videos–
DeFB is proposed, a decomposed feature learning paradigm that model faces and eyes in granularity-specific feature spaces, which enhances fine-grained perception while reducing computational costs compared to a unified feature space and adopts an asynchronous learning mechanism to mitigate face-eye feature learning instability.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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