Madhav Rao

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All published works

Action	Title	Year	Authors
+ PDF Chat	MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals	2024	B S Ajay Phani Pavan K Madhav Rao
+	HRM: $M$-Term Heterogeneous Hybrid Blend Recursive Multiplier for GF($2^{n}$) Polynomial	2024	D. Vasanthi Sanampudi Gopala Krishna Reddy Madhav Rao
+ PDF Chat	CASE: Curricular Data Pre-training for Building Generative and Discriminative Assistive Psychology Expert Models	2024	Sarthak Harne Monjoy Narayan Choudhury Madhav Rao T K Srikanth Seema Mehrotra Apoorva Vashisht Aarushi Basu Manjit Sodhi
+ PDF Chat	CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models	2024	Sarthak Harne Monjoy Narayan Choudhury Madhav Rao T K Srikanth Seema Mehrotra Apoorva Vashisht Aarushi Basu Manjit Singh Sodhi
+ PDF Chat	Introducing SSBD+ Dataset with a Convolutional Pipeline for Detecting Self-Stimulatory Behaviours in Children Using Raw Videos	2023	Vaibhavi Lokegaonkar Vijay Jaisankar Pon Deepika Madhav Rao T K Srikanth Sarbani Mallick Manjit Sodhi
+	Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos	2023	Vaibhavi Lokegaonkar Vijay Jaisankar P. Deepika Madhav Rao T K Srikanth Sarbani Mallick Manjit Sodhi

Common Coauthors

Coauthor	Papers Together
T K Srikanth	4
Manjit Sodhi	3
Apoorva Vashisht	2
Monjoy Narayan Choudhury	2
Vaibhavi Lokegaonkar	2
Vijay Jaisankar	2
Sarthak Harne	2
Sarbani Mallick	2
Seema Mehrotra	2
Aarushi Basu	2
B S Ajay	1
P. Deepika	1
Manjit Singh Sodhi	1
D. Vasanthi	1
Phani Pavan K	1
Sanampudi Gopala Krishna Reddy	1
Pon Deepika	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Temporal Segment Networks: Towards Good Practices for Deep Action Recognition	2016	Limin Wang Yuanjun Xiong Zhe Wang Yu Qiao Dahua Lin Xiaoou Tang Luc Van Gool	1
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	1
+ PDF Chat	A Closer Look at Spatiotemporal Convolutions for Action Recognition	2018	Du Tran Heng Wang Lorenzo Torresani Jamie Ray Yann LeCun Manohar Paluri	1
+ PDF Chat	Polynomial products modulo primes and applications	2020	Oleksiy Klurman Marc Munsch	1
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2019	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	1
+	Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging	2021	Peter Washington Aaron Kline Onur Cezmi Mutlu Émilie Leblanc Cathy Hou Nate Stockham Kelley Paskov Brianna Chrisman Dennis P. Wall	1
+	Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study.	2021	Anish Lakkapragada Aaron Kline Onur Cezmi Mutlu Kelley Paskov Brianna Chrisman Nate Stockham Peter Washington Dennis P. Wall	1
+ PDF Chat	Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data	2023	Vladislav Lialin Stephen Rawls David W. Chan Shalini Ghosh Anna Rumshisky Wael Hamza	1
+ PDF Chat	YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors	2023	Chien-Yao Wang Alexey Bochkovskiy Hong-Yuan Mark Liao	1