17 citations · 19 across the 9 of their papers we have counts for
9 papers · 1 filter
Beyond Thinking: Imagining in 360 for Humanoid Visual Search
Jingdong Zhang, Yizhou Wang, Zhengzhong Tu +3
Humanoid Visual Search (HVS) requires agents to actively explore immersive 360 environments. While prior methods treat this as a monolithic task relying on cumulative, mult…
MTPano: Multi-Task Panoramic Scene Understanding via Label-Free Integration of Dense Prediction Priors
Jingdong Zhang, Xiaohang Zhan, Lingzhi Zhang +5
Comprehensive panoramic scene understanding is critical for immersive applications, yet it remains challenging due to the scarcity of high-resolution, multi-task annotations. While…
UniSER: A Foundation Model for Unified Soft Effects Removal
Jingdong Zhang, Lingzhi Zhang, Qing Liu +12
Digital images are often degraded by soft effects such as lens flare, haze, shadows, and reflections, which reduce aesthetics even though the underlying pixels remain partially vis…
SPGen: Spherical Projection as Consistent and Flexible Representation for Single Image 3D Shape Generation
Jingdong Zhang, Weikai Chen, Yuan Liu +6
Existing single-view 3D generative models typically adopt multiview diffusion priors to reconstruct object surfaces, yet they remain prone to inter-view inconsistencies and are una…
3R-GS: Best Practice in Optimizing Camera Poses Along with 3DGS
Zhisheng Huang, Peng Wang, Jingdong Zhang +3
3D Gaussian Splatting (3DGS) has revolutionized neural rendering with its efficiency and quality, but like many novel view synthesis methods, it heavily depends on accurate camera…
SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstruction
Zhuowen Shen, Yuan Liu, Zhang Chen +9
Gaussian splatting has achieved impressive improvements for both novel-view synthesis and surface reconstruction from multi-view images. However, current methods still struggle to…
Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions
Jingdong Zhang, Hanrong Ye, Xin Li +2
In recent years, simultaneous learning of multiple dense prediction tasks with partially annotated label data has emerged as an important research area. Previous works primarily fo…
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions
Jingdong Zhang, Jiayuan Fan, Peng Ye +5
Multi-task dense prediction aims at handling multiple pixel-wise prediction tasks within a unified network simultaneously for visual scene understanding. However, cross-task featur…
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
Yancheng Cai, Bo Zhang, Baopu Li +4
Cross-domain pedestrian detection aims to generalize pedestrian detectors from one label-rich domain to another label-scarce domain, which is crucial for various real-world applica…