Capture Protocol

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0 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression
Aug 11, 2026Yuhang Wei, Chuqin Zhou, Yibo Shi +2Learned Image Compression Rate-Distortion Theory
Shanghai Jiao Tong University · Shanghai Jiao Tong University Shanghai, China · Huawei Technologies Ltd +1
PCAP-LM: An LLM-Native Text Representation for TLS Bulk Traffic Analysis
Jul 30, 2026Xavier Marjou, Lucas Tamic, Ilan Jaffeux-ChenioutCapture Protocol Network Traffic
Orange
RadioTrace: Transmitter-Aware Diffusion for Radio Map Estimation without Deployment-Time Fine-Tuning
Jul 23, 2026Liu Yang, Qiang Li, Zhuo Cao +3Radio Map Estimation Capture Protocol
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China, 611731 · School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China, 611731, and also with Tianfu Jiangxi Laboratory, Chengdu, China, 641419
Toward Real-Time Sentence-Level Sign Language Translation
Jul 10, 2026Thanh-Hoang Nguyen DoanGloss-Free Sign Language Translation Speech Translation
The University of Danang - University of Science and Technology · The University of Danang – University of Science and Technology
Multi-Level Distributional Entropy for Explainable Network Intrusion Detection
Jun 29, 2026Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng +2Intrusion Detection Capture Protocol
Centre for Intelligent Cloud Computing, CoE for Advanced Cloud, Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450, Melaka, Malaysia · Department of Communication Technology and Networking, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang 43400, Malaysia · Laboratory of Computational Science and Mathematical Physics, Institute for Mathematical Research, Universiti Putra Malaysia, Serdang, Malaysia
A Vendor-Agnostic LiDAR Data Conversion System with Multi-Signal Detection and Multi-Format Output
Jun 22, 2026Param Patel, Jay Dave, Pratyush ChakrabortyTwo-Dimensional Light Detection And Ranging 3D Perception
Department of Electrical and Electronics Engineering, BITS Pilani, Hyderabad Campus, Telangana, India · Department of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus, Telangana, India
Synthetic Network Packet Generation through Statistical Learning and Genetic Algorithms
Jun 18, 2026Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1Intrusion Detection Capture Protocol
University of Massachusetts Dartmouth Dartmouth, MA USA · United States Military Academy West Point, NY USA
Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet Traces
Jun 8, 2026Shardul Bansal, Seth Schilbe, Jarrod BarnesAgentic Benchmarks Chatbot Arena
1ORO AI · 2Dynamical Systems
Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring
Jun 5, 2026Jerome Henry, Swadhin Pradhan, Miroslav PopovicCapture Protocol Evaluation Protocols
Cisco Systems
TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
May 28, 2026Junhui Ding, Xinchen Zhang, Xiaohui Xie +1Capture Protocol Network Traffic
Tsinghua University · University of Hong Kong
Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models
May 14, 2026Swadhin Pradhan, Shazal Irshad, Jerome HenryCapture Protocol Wireless Foundation Models
Cisco Systems

Aug 11, 2026, cs.CVJ/K move · Enter open · S save

Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression

Yuhang Wei, Chuqin Zhou, Yibo Shi, Jing Wang+1

Shanghai Jiao Tong University · Shanghai Jiao Tong University Shanghai, China · Huawei Technologies Ltd+1

Learned Image Compression Rate-Distortion Theory Data Compression Methods Image Restoration Capture Protocol Random

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Learned image compression (LIC) has achieved impressive rate-distortion performance. However, existing methods remain highly vulnerable to packet loss, a common challenge in satellite and emergency communications. This vulnerability stems from non-uniform information distribution at the packetization stage and sequential decoding dependencies at the entropy coding stage. We propose an end-to-end loss-resilient image compression scheme that addresses both. Before packetization, we introduce an Inter-Channel Redistribution (ICR) mechanism to redistribute channel energy, preventing critical information concentrating in a small subset of channels. Then, an Interleaved Channel Grouping (ICG) strategy partitions latent channels in a strided manner to disperse information across packets, with each packet kept within constrained sizes. To limit cascading errors from lost packets, we adopt a two-layer dual-branch autoregressive structure to shorten the dependency chain. Extensive experiments demonstrate that our method consistently outperforms existing approaches in both reconstruction quality and stability. At 20% packet loss, it achieves an average PSNR gain of 1.84 dB over LossResilientLIC while reducing PSNR variance by an order of magnitude. Notably, trained under uniform random loss only, our model generalizes to bursty loss modeled by the Gilbert-Elliott channel, outperforming methods explicitly trained for such conditions.

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