1 citations · 1 across the 8 of their papers we have counts for
10 papers
Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action Models
Zhuoyuan Li, Rui Zhao, Jin Wang +5
Token compression has become a key technique for reducing the inference cost of large foundation models, with approaches such as token pruning and KV-cache reuse widely adopted in…
CutClean: Neural Network Pruning for Privacy-Preserving Inference
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise +1
Neural networks are increasingly deployed in high-stakes applications with growing privacy leakage concerns. We show that this privacy leakage can occur even in the absence of repr…
Current Injection Spiking Neural Network for Infrared and Visible Image Fusion
Rui Zhao, Zhuoyuan Li, Wenrui Li +4
Infrared and visible image fusion (IVIF) integrates the complementary information of two modalities into a single image with richer scene content. While existing methods are largel…
RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting
Hoang-Nhat Tran, Francesco Di Sario, Gabriele Spadaro +2
Recent advances in neural scene representations have transformed immersive multimedia, with 3D Gaussian Splatting (3DGS) enabling real-time photorealistic rendering. Despite its ef…
Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding
Bolin Chen, Shanzhi Yin, Goluck Konuko +4
The rise of deep generative models has greatly advanced video compression, reshaping the paradigm of face video coding through their powerful capability for semantic-aware represen…
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
Gabriele Spadaro, Alberto Presta, Jhony H. Giraldo +5
Efficient compression of low-bit-rate point clouds is critical for bandwidth-constrained applications. However, existing techniques mainly focus on high-fidelity reconstruction, re…
Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation
Zhichao Yang, Leida Li, Pengfei Chen +2
Contrastive vision-language models, such as CLIP, have demonstrated excellent zero-shot capability across semantic recognition tasks, mainly attributed to the training on a large-s…
Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions
Muhammad Salman Ali, Chaoning Zhang, Marco Cagnazzo +3
3D Gaussian Splatting (3DGS) has recently emerged as a pioneering approach in explicit scene rendering and computer graphics. Unlike traditional neural radiance field (NeRF) method…
Multi-Reference Generative Face Video Compression with Contrastive Learning
Goluck Konuko, Giuseppe Valenzise
Generative face video coding (GFVC) has been demonstrated as a potential approach to low-latency, low bitrate video conferencing. GFVC frameworks achieve an extreme gain in coding…
Generative AI for RF Sensing in IoT systems
Li Wang, Chao Zhang, Qiyang Zhao +5
The development of wireless sensing technologies, using signals such as Wi-Fi, infrared, and RF to gather environmental data, has significantly advanced within Internet of Things (…