9 citations · 14 across the 12 of their papers we have counts for
12 papers
Evaluating the Feasibility of Inferring Dietary Behavior Change Receptivity from Egocentric Images of Eating Environment
Long Li, Yuning Huang, Heather A. Eicher-Miller +3
Accurately assessing dietary behavior change receptivity is essential for designing effective just-in-time adaptive interventions (JITAIs) that promote healthier eating habits. How…
Adaptive Greedy Frame Selection for Long Video Understanding
Yuning Huang, Xiaoyu Ji, Joseph Huang +2
Large vision--language models (VLMs) are increasingly applied to long-video question answering, yet inference is often bottlenecked by the number of input frames and resulting visu…
EntropyGS: An Efficient Entropy Coding on 3D Gaussian Splatting
Yuning Huang, Jiahao Pang, Fengqing Zhu +1
As an emerging novel view synthesis approach, 3D Gaussian Splatting (3DGS) demonstrates fast training/rendering with superior visual quality. The two tasks of 3DGS, Gaussian creati…
Low-Rank Adaptation of Pre-trained Vision Backbones for Energy-Efficient Image Coding for Machine
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Image Coding for Machines (ICM) focuses on optimizing image compression for AI-driven analysis rather than human perception. Existing ICM frameworks often rely on separate codecs f…
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
Yichi Zhang, Zhihao Duan, Yuning Huang +1
As learned image compression (LIC) methods become increasingly computationally demanding, enhancing their training efficiency is crucial. This paper takes a step forward in acceler…
Balanced Rate-Distortion Optimization in Learned Image Compression
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Learned image compression (LIC) using deep learning architectures has seen significant advancements, yet standard rate-distortion (R-D) optimization often encounters imbalanced upd…
Towards Reproducible Learning-based Compression
Jiahao Pang, Muhammad Asad Lodhi, Junghyun Ahn +2
A deep learning system typically suffers from a lack of reproducibility that is partially rooted in hardware or software implementation details. The irreproducibility leads to skep…
MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing
Yu-Fen Huang, Nikki Moran, Simon Coleman +12
In cross-modal music processing, translation between visual, auditory, and semantic content opens up new possibilities as well as challenges. The construction of such a transformat…
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
Yuning Huang, Mohamed Abul Hassan, Jiangpeng He +6
Detecting an ingestion environment is an important aspect of monitoring dietary intake. It provides insightful information for dietary assessment. However, it is a challenging prob…
Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems
Md Adnan Faisal Hossain, Zhihao Duan, Yuning Huang +1
Feature compression is a promising direction for coding for machines. Existing methods have made substantial progress, but they require designing and training separate neural netwo…
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Recent studies reveal a significant theoretical link between variational autoencoders (VAEs) and rate-distortion theory, notably in utilizing VAEs to estimate the theoretical upper…
Probing Image Compression For Class-Incremental Learning
Justin Yang, Zhihao Duan, Andrew Peng +3
Image compression emerges as a pivotal tool in the efficient handling and transmission of digital images. Its ability to substantially reduce file size not only facilitates enhance…