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Found 13 papers, 6 papers with code
What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation
GazeDPTR shows state-of-the-art performance on the IVGaze dataset.
Chatterbox: Robust Transport for LLM Token Streaming under Unstable Network
To render each generated token in real time, the LLM server generates response tokens one by one and streams each generated token (or group of a few tokens) through the network to the user right after it is generated, which we refer to as LLM token streaming.
Multi-Modal Gaze Following in Conversational Scenarios
We then use the identity information to enhance scene images and propose a gaze candidate estimation network.
CacheGen: KV Cache Compression and Streaming for Fast Language Model Serving
Compared to the recent systems that reuse the KV cache, CacheGen reduces the KV cache size by 3. 7-4. 3x and the total delay in fetching and processing contexts by 2. 7-3. 2x while having negligible impact on the LLM response quality in accuracy or perplexity.
DVGaze: Dual-View Gaze Estimation
We further propose a dual-view transformer to estimate gaze from dual-view features.
High-Fidelity Eye Animatable Neural Radiance Fields for Human Face
In this paper, we aim to learn a face NeRF model that is sensitive to eye movements from multi-view images.
GRACE: Loss-Resilient Real-Time Video through Neural Codecs
In real-time video communication, retransmitting lost packets over high-latency networks is not viable due to strict latency requirements.
Gaze Estimation using Transformer
In this paper, we employ transformers and assess their effectiveness for gaze estimation.
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
However, it lacks a guideline for designing deep learning algorithms for gaze estimation tasks.
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
Different from common domain adaption methods, we propose a domain generalization method to improve the cross-domain performance without touching target samples.
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
Meanwhile, we also propose Adaptive Group Normalization to recalibrate eye features with the guidance of facial feature.
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
Human gaze is essential for various appealing applications.
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression
Inspired by this, we design the multi-stream ARE-Net; one asymmetric regression network (AR-Net) predicts 3D gaze directions for both eyes with a novel asymmetric strategy, and the evaluation network (E-Net) adaptively adjusts the strategy by evaluating the two eyes in terms of their performance during optimization.
