most citedCC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion

14 citations · 15 across the 4 of their papers we have counts for

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cs.CV2023

ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection

Tao Tu, Shun-Po Chuang, Yu-Lun Liu +5

We propose ImGeoNet, a multi-view image-based 3D object detection framework that models a 3D space by an image-induced geometry-aware voxel representation. Unlike previous methods…

cs.CV2023

ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation

Xuefeng Hu, Ke Zhang, Lu Xia +9

Large-scale Pre-Training Vision-Language Model such as CLIP has demonstrated outstanding performance in zero-shot classification, e.g. achieving 76.3% top-1 accuracy on ImageNet wi…

cs.CV202214 cited

CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion

Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar +2

To track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle…

cs.CV20221 cited

360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning

Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu +2

We present 360-MLC, a self-training method based on multi-view layout consistency for finetuning monocular room-layout models using unlabeled 360-images only. This can be valuable…

cs.CV2022

Autoregressive 3D Shape Generation via Canonical Mapping

An-Chieh Cheng, Xueting Li, Sifei Liu +2

With the capacity of modeling long-range dependencies in sequential data, transformers have shown remarkable performances in a variety of generative tasks such as image, audio, and…

cs.CV2021

Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation

Chi-Wei Hsiao, Cheng Sun, Hwann-Tzong Chen +1

We present a novel pyramidal output representation to ensure parsimony with our "specialize and fuse" process for semantic segmentation. A pyramidal "output" representation consist…