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From the 1 of 13 linked papers with an AI index.

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13 papers

eess.IV2026

Decoder-Guided Lossy Contour Coding Via Anchor Refinement

Ruoyu Yang, Yichi Zhang, Haohong Wang +1

The paper proposes a lossy contour coding scheme that leverages a decoder‑available coarse contour as side information, using anchor extraction and adaptive skipping to achieve a c…

cs.CV2026

Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception

Gautham Vinod, Bruce Coburn, Siddeshwar Raghavan +1

Accurate volume estimation of objects from visual data is a long-standing challenge in computer vision with significant applications in robotics, logistics, and smart health. Exist…

cs.CV2026

Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation

Siddeshwar Raghavan, Gautham Vinod, Bruce Coburn +1

Audio-Visual Segmentation (AVS) aims to produce pixel-level masks of sound producing objects in videos, by jointly learning from audio and visual signals. However, real-world envir…

eess.IV2026

Uni-LVC: A Unified Method for Intra- and Inter-Mode Learned Video Compression

Yichi Zhang, Ruoyu Yang, Fengqing Zhu

Recent advances in learned video compression (LVC) have led to significant performance gains, with codecs such as DCVC-RT surpassing the H.266/VVC low-delay mode in compression eff…

cs.LG2026

Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning

Jinge Ma, Fengqing Zhu

With the widespread adoption of deep learning in visual tasks, Class-Incremental Learning (CIL) has become an important paradigm for handling dynamically evolving data distribution…

cs.CV2026

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds

Jinge Ma, Xiaoyan Zhang, Gautham Vinod +3

Food portion estimation is crucial for monitoring health and tracking dietary intake. Image-based dietary assessment, which involves analyzing eating occasion images using computer…