Search Results for author:
Found 13 papers, 3 papers with code
An Experiment on Speech-to-Text Translation Systems for Manipuri to English on Low Resource Setting
Based on this dataset, a benchmark evaluation is reported for the Manipuri-English Speech-to-Text translation using two approaches: 1) a pipeline model consisting of ASR (Automatic Speech Recognition) and Machine translation, and 2) an end-to-end Speech-to-Text translation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
An Efficient Keyframes Selection Based Framework for Video Captioning
Describing a video is a challenging yet attractive task since it falls into the intersection of computer vision and natural language generation.
Ranked #1 on
Video Captioning
on Hindi MSR-VTT
On the Transferability of Massively Multilingual Pretrained Models in the Pretext of the Indo-Aryan and Tibeto-Burman Languages
In recent times, machine translation models can learn to perform implicit bridging between language pairs never seen explicitly during training and showing that transfer learning helps for languages with constrained resources.
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies
We further create an open-source repository for $14$ embedding-based EA methods and present the analysis for invoking further research motivations in the field of EA.
A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis
We convert the DeepMind Mathematics Dataset into a reinforcement learning environment by interpreting it as a program synthesis problem.
An encoder-decoder based framework for hindi image caption generation
The model is tested over Hindi visual genome dataset to validate the proposed approach’s performance and cross-verification is carried out for English captions with Flickr dataset.
Attention based video captioning framework for Hindi
In recent times, active research is going on for bridging the gap between computer vision and natural language.
Ranked #2 on
Video Captioning
on Hindi MSR-VTT
A Comprehensive Review on Recent Methods and Challenges of Video Description
In this work, we report a comprehensive survey on the phases of video description approaches, the dataset for video description, evaluation metrics, open competitions for motivating the research on the video description, open challenges in this field, and future research directions.
NITS-VC System for VATEX Video Captioning Challenge 2020
Video captioning is process of summarising the content, event and action of the video into a short textual form which can be helpful in many research areas such as video guided machine translation, video sentiment analysis and providing aid to needy individual.
Ranked #10 on
Video Captioning
on VATEX
A novel automatic shot boundary detection algorithm: robust to illumination and motion effect
Many researches have been done on shot boundary detection, but the performance of shot boundary detection approaches is yet to be addressed for the videos having sudden illumination and object/camera motion effects efficiently.
Detecting Spiky Corruption in Markov Decision Processes
We show that if the reward corruption in a CRMDP is sufficiently "spiky", the environment is solvable.
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows
In this vision paper, we outline our approach to leveraging Deep Learning algorithms to discover solutions to unique problems that arise in a system with computational infrastructure that is spread over a wide area.
Modular Resource Centric Learning for Workflow Performance Prediction
The central idea of this work is to train resource-centric machine learning agents to capture complex relationships between a set of program instructions and their performance metrics when executed on a specific resource.
