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ORCIDDinesh Naik
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2020 – today
- 2024
[j3]Dinesh Naik
, Jaidhar C. D.:
Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM. Multim. Tools Appl. 83(4): 11187-11213 (2024)- 2022
- [j2]Dinesh Naik, C. D. Jaidhar:
Semantic context driven language descriptions of videos using deep neural network. J. Big Data 9(1): 17 (2022) - [j1]Dinesh Naik, C. D. Jaidhar:
A novel Multi-Layer Attention Framework for visual description prediction using bidirectional LSTM. J. Big Data 9(1): 104 (2022) - [c7]Aditya Chandrasekar, Amey Shimpi, Dinesh Naik:
Indic Visual Question Answering. SPCOM 2022: 1-5 - 2021
- [c6]Vikash Raja Mallick, Dinesh Naik:
Attention based Image Captioning using Depth-wise Separable Convolution. ICCCNT 2021: 1-6 - [c5]Harsh Maru, Tss Chandana, Dinesh Naik:
Comparitive study of GRU and LSTM cells based Video Captioning Models. ICCCNT 2021: 1-5 - [c4]Dinesh Naik, C. D. Jaidhar:
Weakly Supervised Image Annotation and Segmentation. ICCCNT 2021: 1-8 - [c3]Naveen Yadav, Dinesh Naik:
Loss Optimised Video Captioning using Deep-Lstm, Attention Mechanism and Weighted Loss Metrices. ICCCNT 2021: 1-7 - 2020
- [c2]Rakesh Radarapu, Nishanth Bandari, Satwik Muthyam, Dinesh Naik:
A Novel Approach for Video Captioning Based on Semantic Cross Embedding and Skip-Connection. CVIP (3) 2020: 465-477
2010 – 2019
- 2016
- [c1]Dinesh Naik, C. D. Jaidhar:
Image segmentation using encoder-decoder architecture and region consistency activation. ICIIS 2016: 724-729
Coauthor Index
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