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20232025
most citedHybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction

12 citations · 14 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation

Xiaolu Hou, Mingcheng Li, Dingkang Yang +7

With the widespread use of virtual reality applications, 3D scene generation has become a new challenging research frontier. 3D scenes have highly complex structures and need to en…

cs.CV2024

MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation

Xiao Zhao, Xukun Zhang, Dingkang Yang +4

Accurate and robust multimodal multi-task perception is crucial for modern autonomous driving systems. However, current multimodal perception research follows independent paradigms…

cs.CV2024★ 12 cited

HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction

Xiao Zhao, Bo Chen, Mingyang Sun +7

Vision-based 3D semantic scene completion (SSC) describes autonomous driving scenes through 3D volume representations. However, the occlusion of invisible voxels by scene surfaces…

cs.CV2024

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities

Mingcheng Li, Dingkang Yang, Xiao Zhao +7

Multimodal sentiment analysis (MSA) aims to understand human sentiment through multimodal data. Most MSA efforts are based on the assumption of modality completeness. However, in r…

cs.CV2023★ 2 cited

CPR-Coach: Recognizing Composite Error Actions based on Single-class Training

Shunli Wang, Qing Yu, Shuaibing Wang +7

The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm sho…

cs.CV2023

Context De-confounded Emotion Recognition

Dingkang Yang, Zhaoyu Chen, Yuzheng Wang +8

Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that aims to perceive the emotional states of the target person with contextual information. Recent appro…