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Tong Shao

3 papers indexed

arxivcs.CV2026-07-15

MixCompress: Mixture of Experts for Variable Rate Learned Image Compression

Calvin-Khang Ta, Praneet Singh, Tong Shao, Peng Yin

Learned image compression (LIC) is bottlenecked by the need to store independent models for each rate-distortion operating point. Existing variable bit-rate (VBR) methods aim to reduce this overhead via dense parameter modulation, but forcing a shared backbone to approximate dive…

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arxivcs.CV2026-07-15

DCVC-MB: Neural B-Frame Video Compression using State Space Models

Arjun Arora, Calvin-Khang Ta, Carlos Restrepo-Galeano, Kruthi Murali, Naga Akhil E S, Arunkumar Mohananchettiar, et al.

In this paper we propose DCVC-Mamba (DCVC-MB), a neural video codec framework for B-frame coding. Our approach incorporates an IBP frame strategy for low-delay B-frame coding, a spatio-temporal fusion model based on state-space models for bidirectional temporal prediction, and an…

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arxivcs.CVcs.AI2026-07-01

TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence Modeling

Tong Shao, Hongshun Ling, Li Zhang, Jinjing Wu, Junke Wang, Yuan Gao, et al.

Chest X-ray multi-label classification is a core task in intelligent medical imaging diagnosis. However, real clinical data often exhibit extreme long-tailed distributions, leading to degraded performance on rare diseases in tail classes. This issue is not only driven by data sca…

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