Chaudhari, Pratik
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2

UAVs for forestry: Metric-semantic mapping and diameter est..:

Prabhu, Ankit ; Liu, Xu ; Spasojevic, Igor...
Mechanical Systems and Signal Processing.  208 (2024)  - p. 111050 , 2024
 
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3

The training process of many deep networks explores the sam..:

Mao, Jialin ; Griniasty, Itay ; Teoh, Han Kheng...
Proceedings of the National Academy of Sciences.  121 (2024)  12 - p. , 2024
 
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5

Beyond mAP: Towards Better Evaluation of Instance Segmentat..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Jena, Rohit ; Zhornyak, Lukas ; Doiphode, Nehal... - p. 11309-11318 , 2023
 
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6

Sparse Neural Additive Model: Interpretable Deep Learning w..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Xu, Shiyun ; Bu, Zhiqi ; Chaudhari, Pratik. - p. 343-359 , 2023
 
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7

Real-time Vehicle Count, Speed Estimation and Number Plate ..:

, In: 2023 1st International Conference on Cognitive Computing and Engineering Education (ICCCEE),
 
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9

A Platform for Anonymous Tip-Off and Evidence Validation:

, In: 2023 2nd International Conference on Edge Computing and Applications (ICECAA),
 
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10

Bias in machine learning models can be significantly mitiga..:

Wang, Rongguang ; Chaudhari, Pratik ; Davatzikos, Christos
Proceedings of the National Academy of Sciences.  120 (2023)  6 - p. , 2023
 
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11

Reply to Holm et al.: Careful training is a good practice:

Wang, Rongguang ; Chaudhari, Pratik ; Davatzikos, Christos
Proceedings of the National Academy of Sciences.  120 (2023)  23 - p. , 2023
 
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