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20232026
most citedFlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

4 citations · 5 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model

Houji Wen, Jiangyong Yu, Jun Li +1

Segment Anything Models (SAMs) are extensively used in computer vision for universal image segmentation, but deploying them on resource-constrained devices is challenging due to th…

cs.CV2025

FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection

Jiangyong Yu, Changyong Shu, Sifan Zhou +4

Camera-based multi-view 3D detection is crucial for autonomous driving. PETR and its variants (PETRs) excel in benchmarks but face deployment challenges due to high computational c…

cs.CV2025

FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection

Jiangyong Yu, Changyong Shu, Sifan Zhou +4

Camera-based multi-view 3D detection is crucial for autonomous driving. PETR and its variants (PETRs) excel in benchmarks but face deployment challenges due to high computational c…

cs.CV2025

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization

JiangYong Yu, Sifan Zhou, Dawei Yang +7

Multimodal large language models (MLLMs) have garnered widespread attention due to their ability to understand multimodal input. However, their large parameter sizes and substantia…

cs.CV2024

Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy with Panoptic via Instance Center

Zichen Yu, Changyong Shu, Qianpu Sun +7

Panoptic occupancy poses a novel challenge by aiming to integrate instance occupancy and semantic occupancy within a unified framework. However, there is still a lack of efficient…

cs.CV2023

Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting

Dawei Yang, Ning He, Xing Hu +4

Although neural networks have made remarkable advancements in various applications, they require substantial computational and memory resources. Network quantization is a powerful…

cs.CV2023★ 4 cited

FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

Zichen Yu, Changyong Shu, Jiajun Deng +6

Given the capability of mitigating the long-tail deficiencies and intricate-shaped absence prevalent in 3D object detection, occupancy prediction has become a pivotal component in…