Vijay Chandrasekhar

Ball (France) — France

Computer Science · Physical Sciences

41h-index8.1kcitations153works3.02yr avg
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Research Topics

Advanced Image and Video Retrieval Techniques(76), Image Retrieval and Classification Techniques(43), Robotics and Sensor-Based Localization(36), Advanced Neural Network Applications(27), Domain Adaptation and Few-Shot Learning(16)

Publications153 total

Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions
ITM Web of Conferences·2025· 3 citedOpen Access
Mixed Membership Generative Adversarial Networks
2022 IEEE International Conference on Image Processing (ICIP)·2022
Bayesian Deep Active Learning for Analog Circuit Performance Classification
2022 IEEE International Symposium on Circuits and Systems (ISCAS)·2022· 9 cited
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
Lecture notes in computer science·2022· 6 cited
Classify and generate: Using classification latent space representations for image generations
Neurocomputing·2021· 3 citedOpen Access
Delving into Channels: Exploring Hyperparameter Space of Channel Bit Widths with Linear Complexity
2021
Rate-Distortion Optimized Coding for Efficient CNN Compression
2021· 10 cited
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
arXiv (Cornell University)·2021· 2 citedOpen Access
DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption
IEEE Transactions on Information Forensics and Security·2021· 69 cited
Empirical Analysis Of Overfitting And Mode Drop In Gan Training
2020· 5 citedOpen Access
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs
IEEE Transactions on Emerging Topics in Computing·2020· 161 cited
Learning to Prune Deep Neural Networks via Reinforcement Learning
arXiv (Cornell University)·2020· 7 citedOpen Access
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
2020· 154 cited
Classification Representations Can be Reused for Downstream Generations.
arXiv (Cornell University)·2020· 1 citedOpen Access
CareNets: Efficient Homomorphic CNN for High Resolution Images
2019· 3 cited
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
arXiv (Cornell University)·2019· 2 citedOpen Access
EAST-DNN: Expediting architectural SimulaTions using deep neural networks
2019· 2 cited
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
2019· 28 cited
MaskConvNet: Training Efficient ConvNets from Scratch via Budget-constrained Filter Pruning
2019
Towards Effective 2-bit Quantization: Pareto-optimal Bit Allocation for Deep CNNs Compression
2019· 1 cited
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Frequent Co-authors

Bernd Girod(18), Gabriel Takacs(15), Sam S. Tsai(15), Radek Grzeszczuk(13), Jie Lin(11), Chuan-Sheng Foo(7), Ngai‐Man Cheung(7), Ramakrishna Vedantham(7), David M. Chen(6), Yuriy A. Reznik(5), David Chen(5), Liyuan Li(5), Joo‐Hwee Lim(5), Houssam Zenati(4), Ling‐Yu Duan(4), Tiejun Huang(4), Wen Gao(4), Bruno Lecouat(3), Chan Fook Mun(3), Benjamin Hong Meng Tan(3)