12 citations · 21 across the 19 of their papers we have counts for
5 papers · 1 filter
Diffusion-aided Extreme Video Compression with Lightweight Semantics Guidance
Maojun Zhang, Haotian Wu, Richeng Jin +2
Modern video codecs and learning-based approaches struggle for semantic reconstruction at extremely low bit-rates due to reliance on low-level spatiotemporal redundancies. Generati…
Leveraging Overfitting for Low-Complexity and Modality-Agnostic Joint Source-Channel Coding
Haotian Wu, Gen Li, Pier Luigi Dragotti +1
This paper introduces Implicit-JSCC, a novel overfitted joint source-channel coding paradigm that directly optimizes channel symbols and a lightweight neural decoder for each sourc…
LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression
Haotian Wu, Gongpu Chen, Pier Luigi Dragotti +1
We introduce and validate the lottery codec hypothesis, which states that untrained subnetworks within randomly initialized networks can serve as synthesis networks for overfitted…
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference
Haotian Wu, Nitish Mital, Krystian Mikolajczyk +1
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object, which are then used jointly to retrieve simi…
Collaborative Semantic Communication for Edge Inference
Wing Fei Lo, Nitish Mital, Haotian Wu +1
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object from different angles and locations, which ar…