2 citations · 2 across the 5 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
UVU: Improving Multimodal Understanding via Vision-Language Unified Autoregressive Paradigm
Zhehan Kan, Xinghua Jiang, Yubo Zhu +10
Despite remarkable advancements in multimodal large language models (MLLMs), their fine-grained visual understanding is constrained by a primary reliance on sparse textual supervis…
cs.CV2025
SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection
Yifan Wang, Yian Zhao, Fanqi Pu +4
Existing monocular 3D detectors typically tame the pronounced nonlinear regression of 3D bounding box through decoupled prediction paradigm, which employs multiple branches to esti…
cs.CV2024★ 2 cited
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection
Yifan Wang, Xiaochen Yang, Fanqi Pu +2
Monocular 3D object detection has attracted great attention due to simplicity and low cost. Existing methods typically follow conventional 2D detection paradigms, first locating ob…