Standout Papers

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss 2022 2026 2023 2024132
  1. YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss (2022)
    Debapriya Maji, Soyeb Nagori et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Immediate Impact

2 standout

Citing Papers

Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review
2021 Standout
Automotive LiDAR Technology: A Survey
2021 Standout
1 intermediate paper

Works of Deepak Poddar being referenced

Multi-sensor fusion for Automated Driving: Selecting model and optimizing on Embedded platform
2018

Author Peers

Author Last Decade Papers Cites
Deepak Poddar 30 86 7 25 3 139
Soyeb Nagori 26 82 7 25 2 133
Debapriya Maji 31 104 6 26 3 182
Khamar Basha Shaik 24 96 18 3 190
Denis Tomè 24 129 22 16 4 170
Brandon Yang 34 69 3 17 5 114
Chengquan Zhang 46 176 14 6 5 233
Min-Hung Chen 73 137 2 39 2 164
M. Radha 30 114 3 13 3 198
Ilya A. Petrov 24 97 4 10 3 130
Loren Schwarz 12 85 8 24 4 132

All Works

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Rankless by CCL
2026