4 citations · 4 across the 6 of their papers we have counts for
6 papers
N4MC: Neural 4D Mesh Compression
Guodong Chen, Huanshuo Dong, Mallesham Dasari
We present N4MC, the first 4D neural compression framework to efficiently compress time-varying mesh sequences by exploiting their temporal redundancy. Unlike prior neural mesh com…
SVD: Spatial Video Dataset
M. H. Izadimehr, Milad Ghanbari, Guodong Chen +5
Stereoscopic video has long been the subject of research due to its capacity to deliver immersive three-dimensional content across a wide range of applications, from virtual and au…
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality
Yiqin Zhao, Mallesham Dasari, Tian Guo
High-quality environment lighting is essential for creating immersive mobile augmented reality (AR) experiences. However, achieving visually coherent estimation for mobile AR is ch…
Volume Tracking Based Reference Mesh Extraction for Time-Varying Mesh Compression
Guodong Chen, Libor Vasa, Fulin Wang +1
Time-Varying meshes (TVMs), characterized by their varying connectivity and number of vertices, hold significant potential in immersive media and other various applications. Howeve…
RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion
Mallesham Dasari, Ramanujan K Sheshadri, Karthikeyan Sundaresan +1
The plethora of sensors in our commodity devices provides a rich substrate for sensor-fused tracking. Yet, today's solutions are unable to deliver robust and high tracking accuraci…
Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling
Dasari Mallesham, Christina Vlachou, Shruti Sanadhya +4
Mobile video traffic is dominant in cellular and enterprise wireless networks. With the advent of diverse applications, network administrators face the challenge to provide high Qo…