SibtulHussain

SibtulHussain's Stars

• Flashkong/Source-Free-Object-Detection-by-Learning-to-Overlook-Domain-Style

  Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong, Source-Free Object Detection by Learning to Overlook Domain Style, CVPR2022-Oral paper, 2022.

  Language:Python506

• JCZ404/Semi-DETR

  [CVPR 2023] Official implementation of the paper "Semi-DETR: Semi-Supervised Object Detection with Detection Transformers"

  Language:Python829

• frank-xwang/UnSAM

  [NeurIPS 2024] Code release for "Segment Anything without Supervision"

  Language:Jupyter Notebook42428

• google/pyglove

  Manipulating Python Programs

  Language:Python60526

• WongKinYiu/YOLO

  An MIT rewrite of YOLOv9

  Language:Python67071

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2.1k192

• gwenzhang/GGA

  [ECCV'24] A novel weakly supervised framework for 3D object detection from 2D bounding boxes. It can easily extend to novel scenarios and classes.

  Language:Python28

• sunny2109/SAFMN

  [ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge

  Language:Python28514

• replicate/cog

  Containers for machine learning

  Language:Python8.1k564

• lpiccinelli-eth/UniDepth

  Universal Monocular Metric Depth Estimation

  Language:Python64252

• dcharatan/flowmap

  [3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

  Language:Python89687

• 1hao-Liu/SM4Depth

  Official Pytorch code for SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model

  Language:Python371

• FoundationVision/GLEE

  [CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

  Language:Python1.1k85

• zhyever/PatchFusion

  [CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation

  Language:Python96965

• jinlinyi/PerspectiveFields

  [CVPR 2023 Highlight] Perspective Fields for Single Image Camera Calibration

  Language:Jupyter Notebook21521

• gjy3035/GCC-SFCN

  This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

  Language:Python16039

• dk-liang/CrowdCLIP

  [CVPR 2023] CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

  Language:Jupyter Notebook747

• songrise/CLIP-Count

  [ACM MM23] CLIP-Count: Towards Text-Guided Zero-Shot Object Counting

  Language:Python928

• tamnguyenvan/vision-counter

  Language:Python13

• Verg-Avesta/CounTR

  CounTR: Transformer-based Generalised Visual Counting

  Language:Python9610

• zhiyuanyou/SAFECount

  [WACV 2023] Few-shot Object Counting with Similarity-Aware Feature Enhancement

  Language:Python12822

• LoraLinH/Boosting-Crowd-Counting-via-Multifaceted-Attention

  Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'

  Language:Python11021

• djukicn/loca

  LOCA - A Low-Shot Object Counting Network With Iterative Prototype Adaptation (ICCV 2023)

  Language:Python464

• marimo-team/marimo

  A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

  Language:Python8k290

• JiayuanWang-JW/YOLOv8-multi-task

  Language:Python26045

• hustvl/YOLOP

  You Only Look Once for Panopitic Driving Perception.（MIR2022）

  Language:Python1.9k413

• lyuwenyu/RT-DETR

  [CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

  Language:Python2.7k309

• kukuruza/shuffler

  Toolbox for manipulating image annotations in computer vision

  Language:Python262

• KangLiao929/Awesome-Deep-Camera-Calibration

  Deep Learning for Camera Calibration and Beyond: A Survey

  60260

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook23.2k2.4k