Subarna Tripathi

Orcid: 0000-0002-2757-4923

According to our database1, Subarna Tripathi authored at least 38 papers between 2008 and 2023.

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Bibliography

2023
Action Scene Graphs for Long-Form Understanding of Egocentric Videos.
CoRR, 2023

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unbiased Scene Graph Generation in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SViTT: Temporal Learning of Sparse Video-Text Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network.
IEEE Trans. Multim., 2022

Single-Stage Visual Relationship Learning using Conditional Queries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Text Spotting Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Spatial-Temporal Graphs for Active Speaker Detection.
CoRR, 2021

Towards Panoptic 3D Parsing for Single Image in the Wild.
CoRR, 2021

SG2Caps: Revisiting Scene Graphs for Image Captioning.
CoRR, 2021

In Defense of Scene Graphs for Image Captioning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning of Visual Relations: The Devil is in the Tails.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Learnable Graph Inception Network for Emotion Recognition.
CoRR, 2020

Generating Images in Compressed Domain Using Generative Adversarial Networks.
IEEE Access, 2020

Structured Query-Based Image Retrieval Using Scene Graphs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Toward Joint Image Generation and Compression using Generative Adversarial Networks.
CoRR, 2019

Using Scene Graph Context to Improve Image Generation.
CoRR, 2019

Triplet-Aware Scene Graph Embeddings.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Compact Scene Graphs for Layout Composition and Patch Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Improving Object Detection and Segmentation by Utilizing Context.
PhD thesis, 2018

Correction by Projection: Denoising Images with Generative Adversarial Networks.
CoRR, 2018

2017
Pose2Instance: Harnessing Keypoints for Person Instance Segmentation.
CoRR, 2017

A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Precise Recovery of Latent Vectors from Generative Adversarial Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Detecting temporally consistent objects in videos through object class label propagation.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Moving objects detection using classifying object proposals for driver assistance system.
Proceedings of the International SoC Design Conference, 2016

Context Matters: Refining Object Detection in Video with Recurrent Neural Networks.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Beyond Semantic Image Segmentation : Exploring Efficient Inference in Video.
CoRR, 2015

Semantic Video Segmentation : Exploring Inference Efficiency.
CoRR, 2015

Real-time sign language fingerspelling recognition using convolutional neural networks from depth map.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Improving streaming video segmentation with early and mid-level visual processing.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2010
H.264/AVC stereo video compression benchmarking.
Proceedings of the 11th International Workshop on Image Analysis for Multimedia Interactive Services, 2010

2009
Online Improved Eigen Tracking.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008
Parametric video compression using appearance space.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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