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20212026
most cited(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network

28 citations · 50 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection

Anqi Joyce Yang, James Tu, Nikita Dvornik +2

In order to navigate complex traffic environments, self-driving vehicles must recognize many semantic classes pertaining to vulnerable road users or traffic control devices. Howeve…

cs.CV2023

4D-Former: Multimodal 4D Panoptic Segmentation

Ali Athar, Enxu Li, Sergio Casas +1

4D panoptic segmentation is a challenging but practically useful task that requires every point in a LiDAR point-cloud sequence to be assigned a semantic class label, and individua…

cs.CV2023

MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory

Enxu Li, Sergio Casas, Raquel Urtasun

Semantic segmentation of LiDAR point clouds has been widely studied in recent years, with most existing methods focusing on tackling this task using a single scan of the environmen…

cs.CV2021★ 2 cited

CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds

Enxu Li, Ryan Razani, Yixuan Xu +1

A fast and accurate panoptic segmentation system for LiDAR point clouds is crucial for autonomous driving vehicles to understand the surrounding objects and scenes. Existing approa…

cs.CV2021★ 1 cited

SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering

Enxu Li, Ryan Razani, Yixuan Xu +1

Panoptic segmentation aims to address semantic and instance segmentation simultaneously in a unified framework. However, an efficient solution of panoptic segmentation in applicati…

cs.CV2021★ 1 cited

GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network

Ryan Razani, Ran Cheng, Enxu Li +3

Panoptic segmentation as an integrated task of both static environmental understanding and dynamic object identification, has recently begun to receive broad research interest. In…

cs.CV2021★ 28 cited

(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network

Ran Cheng, Ryan Razani, Ehsan Taghavi +2

Autonomous robotic systems and self driving cars rely on accurate perception of their surroundings as the safety of the passengers and pedestrians is the top priority. Semantic seg…