activity
20232026
most citedGEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision

19 citations · 32 across the 36 of their papers we have counts for

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Showing 2024 · cs.CVShow all

8 papers · 2 filters

cs.CV2024

Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis

Jingyu Gong, Chong Zhang, Fengqi Liu +5

Scene-aware motion synthesis has been widely researched recently due to its numerous applications. Prevailing methods rely heavily on paired motion-scene data, while it is difficul…

cs.CV2024★ 1 cited

Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification

Zhizhong Zhang, Jiangming Wang, Xin Tan +4

Unsupervised visible infrared person re-identification (USVI-ReID) is a challenging retrieval task that aims to retrieve cross-modality pedestrian images without using any label in…

cs.CV2024

Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining

Tianfang Sun, Zhizhong Zhang, Xin Tan +2

LiDAR-camera 3D representation pretraining has shown significant promise for 3D perception tasks and related applications. However, two issues widely exist in this framework: 1) So…

cs.CV2024★ 1 cited

Harmonizing Visual Text Comprehension and Generation

Zhen Zhao, Jingqun Tang, Binghong Wu +7

In this work, we present TextHarmony, a unified and versatile multimodal generative model proficient in comprehending and generating visual text. Simultaneously generating images a…

cs.CV2024

FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping

Yuzhou Ji, He Zhu, Junshu Tang +4

The semantically interactive radiance field has always been an appealing task for its potential to facilitate user-friendly and automated real-world 3D scene understanding applicat…

cs.CV2024

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception

Haoming Chen, Zhizhong Zhang, Yanyun Qu +3

An effective pre-training framework with universal 3D representations is extremely desired in perceiving large-scale dynamic scenes. However, establishing such an ideal framework t…