activity
20222026
most citedHIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution

15 citations · 27 across the 10 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.GT2026

Fundamental Impossibility Results in AI Safety: Trading Off between Desiderata

Ida Mattsson, Ratip Emin Berker, Emanuel Tewolde +11

Is there a fundamental tradeoff between desiderata for safe AI systems, such as harmlessness and helpfulness? We answer by formalizing the interaction between AI systems and users…

eess.IV2026

Multi-scale Image Representation Compression

Tianhao Peng, Ho Man Kwan, Fan Zhang +2

Overfitted codecs have demonstrated promising performance for image and video compression. In particular, for image compression, the Cool-chic family of models has shown competitiv…

eess.IV2026

Scalable Neural Video Representation Compression

Tianhao Peng, Ho Man Kwan, Fan Zhang +2

Scalable video coding (SVC) encodes a video into a layered bitstream consisting of a base layer and one or multiple enhancement layers, enabling decoding at different bitrate/quali…

eess.IV2026

High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning

Siyue Teng, Ho Man Kwan, Yuxuan Jiang +2

Learning-based video compression has recently achieved competitive rate-distortion performance compared to conventional video codecs. However, most existing methods rely on non-inv…

eess.IV2026

Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scales

Ho Man Kwan, Tianhao Peng, Fan Zhang +3

Implicit neural representations (INRs) have recently emerged as a promising approach to video compression, delivering competitive rate-distortion performance alongside rapid decodi…