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From the 2 of 5 linked papers with an AI index.

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5 papers

cs.AR2026

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization

Yipu Zhang, Jintao Cheng, Xingyu Liu +8

The paper introduces VersaQ-3D, a co-designed quantization algorithm and reconfigurable accelerator that enables low‑bit (4‑bit) inference of Visual Geometry Grounded Transformers…

cs.SD2026

The SonicAGI System for the REAL-TSE Challenge

Kai Li, Wendi Sang, Jintao Cheng +1

The paper presents SonicAGI, a system for real-world target speaker extraction that combines simulated and real meeting data, using a low‑latency SwiftNet-Lookahead model for onlin…

cs.SD2026

A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation

Kai Li, Jintao Cheng, Chang Zeng +5

Query-based universal sound separation is fundamental to intelligent auditory systems, aiming to isolate specific sources from mixtures. Despite recent advances, existing methods c…

cs.CV2026

Not All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer

Yipu Zhang, Jintao Cheng, Weilun Feng +5

Feed-forward 3D reconstruction models, represented by Visual Geometry Grounded Transformer (VGGT), jointly predict multiple visual geometry tasks such as depth estimation, camera p…

cs.CV2026

Beyond First-Order: Learning Riemannian Geometries for Invariant Visual Place Recognition

Jintao Cheng, Weibin Li, Zhijian He +3

Visual Place Recognition (VPR) demands representations robust to drastic environmental and viewpoint shifts. Existing aggregation paradigms either depend on extensive supervised tr…