Vineeth N. Balasubramanian

IEEE Trans. Biom. Behav. Identity Sci., January, 2024

On Evaluation of Vision Datasets and Models using Human Competency Frameworks.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Few-shot Object Detection: A Detailed Survey.

[BibT_eX]

[DOI]

Vishal M. Chudasama

Hiran Sarkar

Pankaj Wasnik

Jayateja Kalla

CoRR, 2024

Teaching Transformers Causal Reasoning through Axiomatic Training.

[BibT_eX]

[DOI]

Aniket Vashishtha

Abhinav Kumar

Hari Chandana Kuchibhotla

CoRR, 2024

Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?

[BibT_eX]

[DOI]

CoRR, 2024

Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks.

[BibT_eX]

[DOI]

Tanmay Garg

Deepika Vemuri

CoRR, 2024

Open-Set Object Detection By Aligning Known Class Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks.

[BibT_eX]

[DOI]

Sairam VC Rebbapragada

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

FW-Shapley: Real-Time Estimation of Weighted Shapley Values.

[BibT_eX]

[DOI]

Siddharth Tandon

Proceedings of the IEEE International Conference on Acoustics, 2024

POET: Prompt Offset Tuning for Continual Human Action Adaptation.

[BibT_eX]

[DOI]

Prachi Garg

Proceedings of the Computer Vision - ECCV 2024, 2024

Active Transferability Estimation.

[BibT_eX]

[DOI]

Mausoom Sarkar

Chirag Agarwal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Interpretable Model Drift Detection.

[BibT_eX]

[DOI]

Gaurav Sinha

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Towards Learning and Explaining Indirect Causal Effects in Neural Networks.

[BibT_eX]

[DOI]

Satyanarayan Kar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Rethinking Robustness of Model Attributions.

[BibT_eX]

[DOI]

Sankalp Mittal

Amit Deshpande

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Inference Using LLM-Guided Discovery.

[BibT_eX]

[DOI]

Aniket Vashishtha

Abhinav Kumar

Saketh Bachu

CoRR, 2023

Rethinking Counterfactual Data Augmentation Under Confounding.

[BibT_eX]

[DOI]

CoRR, 2023

Δ-Networks for Efficient Model Patching.

[BibT_eX]

[DOI]

Samarth Sinha

Animesh Garg

CoRR, 2023

Learning Causal Attributions in Neural Networks: Beyond Direct Effects.

[BibT_eX]

[DOI]

Saketh Bachu

Harsharaj Pathak

Benin L. Godfrey

Varshaneya V

Satya Narayanan Kar

CoRR, 2023

Towards Estimating Transferability using Hard Subsets.

[BibT_eX]

[DOI]

Rebbapragada V. C. Sairam

Chirag Agarwal

Mausoom Sarkar

CoRR, 2023

ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection.

[BibT_eX]

[DOI]

Monish Keswani

Uttaran Sinha

Nishit Shah

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Learning Style Subspaces for Controllable Unpaired Domain Translation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MADG: Margin-based Adversarial Learning for Domain Generalization.

[BibT_eX]

[DOI]

Aveen Dayal

Vimal K. B.

Linga Reddy Cenkeramaddi

C. Krishna Mohan

Abhinav Kumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating the Effect of Incidental Correlations on Part-based Learning.

[BibT_eX]

[DOI]

Deepayan Das

Leonid Sigal

Niveditha Lakshmi Narasimhan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach.

[BibT_eX]

[DOI]

Vimal K. B.

Saketh Bachu

Tanmay Garg

Raghavan Konuru

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Data-Free Class-Incremental Hand Gesture Recognition.

[BibT_eX]

[DOI]

Shubhra Aich

Jesús Ruiz-Santaquiteria

Zhenyu Lu

Prachi Garg

Alvaro Fernandez Garcia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.

[BibT_eX]

[DOI]

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Fiducial Focus Augmentation for Facial Landmark Detection.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning.

[BibT_eX]

[DOI]

Deepayan Das

Leonid Sigal

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Incremental Object Detection via Meta-Learning.

[BibT_eX]

[DOI]

Jathushan Rajasegaran

Salman H. Khan

Nandita Lakshmi Tunuguntla

IEEE Trans. Pattern Anal. Mach. Intell., 2022

On the Robustness of Explanations of Deep Neural Network Models: A Survey.

[BibT_eX]

[DOI]

Amlan Jyoti

Karthik Balaji Ganesh

Manoj Gayala

CoRR, 2022

Estimating Treatment Effects using Neurosymbolic Program Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Counterfactual Generation Under Confounding.

[BibT_eX]

[DOI]

Saloni Dash

CoRR, 2022

Learning Modular Structures That Generalize Out-of-Distribution.

[BibT_eX]

[DOI]

Arjun Ashok

CoRR, 2022

INDIGO: Intrinsic Multimodality for Domain Generalization.

[BibT_eX]

[DOI]

Milan Aggarwal

CoRR, 2022

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

Toward explainable deep learning.

[BibT_eX]

[DOI]

Commun. ACM, 2022

Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FLUID: Few-Shot Self-Supervised Image Deraining.

[BibT_eX]

[DOI]

Shyam Nandan Rai

Rohit Saluja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Data InStance Prior (DISP) in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors.

[BibT_eX]

[DOI]

Vaishnavi Khindkar

Rohit Saluja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Multi-Domain Incremental Learning for Semantic Segmentation.

[BibT_eX]

[DOI]

Prachi Garg

Rohit Saluja

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals.

[BibT_eX]

[DOI]

Saloni Dash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ETL: Efficient Transfer Learning for Face Tasks.

[BibT_eX]

[DOI]

Isha Dua

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

New Objects on the Road? No Problem, We'll Learn Them Too.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Matching Learned Causal Effects of Neural Networks with Domain Priors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Novel Class Discovery Without Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Distilling the Undistillable: Learning from a Nasty Teacher.

[BibT_eX]

[DOI]

Surgan Jandial

Yash Khasbage

Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer.

[BibT_eX]

[DOI]

Arjun Ashok

Hari Chandana Kuchibhotla

Proceedings of the Computer Vision - ECCV 2022, 2022

Unseen Classes at a Later Time? No Problem.

[BibT_eX]

[DOI]

Sumitra S. Malagi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Proto2Proto: Can you recognize the car, the way I do?

[BibT_eX]

[DOI]

Monish Keswani

Sriranjani Ramakrishnan

Nishant Reddy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Spacing Loss for Discovering Novel Categories.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Energy-based Latent Aligner for Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pose Tutor: An Explainable System for Pose Correction in the Wild.

[BibT_eX]

[DOI]

Bharathi Callepalli

Ayon Sharma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A Framework for Learning Ante-hoc Explainable Models via Concepts.

[BibT_eX]

[DOI]

Deepak Vijaykeerthy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Universalization of Any Adversarial Attack using Very Few Test Examples.

[BibT_eX]

[DOI]

Amit Deshpande

K. V. Subrahmanyam

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Improving Attribution Methods by Learning Submodular Functions.

[BibT_eX]

[DOI]

Piyushi Manupriya

Tarun Ram Menta

Saketha Nath Jagarlapudi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

On Causally Disentangled Representations.

[BibT_eX]

[DOI]

Benin Godfrey L

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract).

[BibT_eX]

[DOI]

Arjun Ashok

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Canonical Saliency Maps: Decoding Deep Face Models.

[BibT_eX]

[DOI]

IEEE Trans. Biom. Behav. Identity Sci., 2021

On the benefits of defining vicinal distributions in latent space.

[BibT_eX]

[DOI]

Vedant Singh

Shreyas Jayant Havaldar

Pattern Recognit. Lett., 2021

Causal Regularization Using Domain Priors.

[BibT_eX]

[DOI]

CoRR, 2021

Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach.

[BibT_eX]

[DOI]

Sowrya Gali

CoRR, 2021

Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach.

[BibT_eX]

[DOI]

Deepak Vijaykeerthy

CoRR, 2021

Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains.

[BibT_eX]

[DOI]

CoRR, 2021

Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On Challenges in Unsupervised Domain Generalization.

[BibT_eX]

[DOI]

Vaasudev Narayanan

Aniket Anand Deshmukh

Ürün Dogan

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach.

[BibT_eX]

[DOI]

Sowrya Gali

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks.

[BibT_eX]

[DOI]

Subrahmanyam Kambhampati Venkata

Amit Deshpande

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Feature generation for long-tail classification.

[BibT_eX]

[DOI]

Rahul Vigneswaran

Marc T. Law

Makarand Tapaswi

Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021

Teaching GANs to sketch in vector format.

[BibT_eX]

[DOI]

Varshaneya V

S. Balasubramanian

Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021

On Adversarial Robustness: A Neural Architecture Search perspective.

[BibT_eX]

[DOI]

Devansh Agarwal

Pulkit Gopalani

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Instance-Wise Causal Feature Selection for Model Interpretation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Towards Open World Object Detection.

[BibT_eX]

[DOI]

Salman H. Khan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions.

[BibT_eX]

[DOI]

Radhika Dua

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Towards Label-Free Few-Shot Learning: How Far Can We Go?

[BibT_eX]

[DOI]

Aditya Bharti

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains.

[BibT_eX]

[DOI]

Ling Shao

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Enhanced Regularizers for Attributional Robustness.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization.

[BibT_eX]

[DOI]

Yash Khasbage

Rahul Vigneswaran

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DANTE: Deep alternations for training neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

Foreword: special issue for the journal track of the 12th Asian conference on machine learning (ACML 2020).

[BibT_eX]

[DOI]

Kee-Eung Kim

Mach. Learn., 2020

Few Shot Learning With No Labels.

[BibT_eX]

[DOI]

Aditya Bharti

CoRR, 2020

Data Instance Prior for Transfer Learning in GANs.

[BibT_eX]

[DOI]

Nupur Kumari

Mayank Singh

CoRR, 2020

Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions.

[BibT_eX]

[DOI]

Radhika Dua

CoRR, 2020

Assisting Scene Graph Generation with Self-Supervision.

[BibT_eX]

[DOI]

Sandeep Inuganti

CoRR, 2020

An Empirical Study on the Robustness of NAS based Architectures.

[BibT_eX]

[DOI]

Devansh Agarwal

CoRR, 2020

Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction.

[BibT_eX]

[DOI]

CoRR, 2020

Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey.

[BibT_eX]

[DOI]

Akshay L. Chandra

CoRR, 2020

Generative Adversarial Data Programming.

[BibT_eX]

[DOI]

CoRR, 2020

Incremental Object Detection via Meta-Learning.

[BibT_eX]

[DOI]

Jathushan Rajasegaran

Salman H. Khan

Ling Shao

CoRR, 2020

VarMixup: Exploiting the Latent Space for Robust Training and Inference.

[BibT_eX]

[DOI]

Vedant Singh

Shreyas Jayant Havaldar

CoRR, 2020

Munich to Dubai: How far is it for Semantic Segmentationƒ.

[BibT_eX]

[DOI]

Shyam Nandan Rai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Charting the Right Manifold: Manifold Mixup for Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Little Fog for a Large Turn.

[BibT_eX]

[DOI]

Harshitha Machiraju

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Multi-Space Approach to Zero-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

On Initial Pools for Deep Active Learning.

[BibT_eX]

[DOI]

Akshay L. Chandra

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

On Saliency Maps and Adversarial Robustness.

[BibT_eX]

[DOI]

Vedant Singh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Meta-Consolidation for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse.

[BibT_eX]

[DOI]

Sakshi Varshney

P. K. Srijith

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Attributional Robustness Training Using Input-Gradient Spatial Alignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Fine-grained Sampling for Active Learning in Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Human-Machine Collaboration for Face Recognition.

[BibT_eX]

[DOI]

Saurabh Ravindranath

Rahul Baburaj

NageswaraRao Namburu

Sujit Gujar

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather.

[BibT_eX]

[DOI]

Shyam Nandan Rai

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Zero-Shot Domain Generalization.

[BibT_eX]

[DOI]

Udit Maniyar

Aniket Anand Deshmukh

Ürün Dogan

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

On the Benefits of Attributional Robustness.

[BibT_eX]

[DOI]

CoRR, 2019

Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops.

[BibT_eX]

[DOI]

Akshay L. Chandra

Seishi Ninomiya

CoRR, 2019

Automatic estimation of heading date of paddy rice using deep learning.

[BibT_eX]

[DOI]

Tokihiro Fukatsu

Seishi Ninomiya

CoRR, 2019

DANTE: Deep AlterNations for Training nEural networks.

[BibT_eX]

[DOI]

CoRR, 2019

Low-Cost Transfer Learning of Face Tasks.

[BibT_eX]

[DOI]

Isha Dua

CoRR, 2019

Region-based active learning for efficient labeling in semantic segmentation.

[BibT_eX]

[DOI]

Tejaswi Kasarla

Gattigorla Nagendar

Guruprasad M. Hegde

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis.

[BibT_eX]

[DOI]

Sailaja Rajanala

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Submodular Batch Selection for Training Deep Neural Networks.

[BibT_eX]

[DOI]

Vamshi Teja R

Krishnakant Singh

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Network Attributions: A Causal Perspective.

[BibT_eX]

[DOI]

Aditya Chattopadhyay

Piyushi Manupriya

Proceedings of the 36th International Conference on Machine Learning, 2019

AdvGAN++: Harnessing Latent Layers for Adversary Generation.

[BibT_eX]

[DOI]

Surgan Jandial

Sakshi Varshney

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Zero-Shot Task Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery.

[BibT_eX]

[DOI]

Ninad Akolekar

Manuj M. Sharma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

An Adaptive Supervision Framework for Active Learning in Object Detection.

[BibT_eX]

[DOI]

Akshay Chandra Lagandula

Seishi Ninomiya

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Improving multiclass classification by deep networks using DAGSVM and Triplet Loss.

[BibT_eX]

[DOI]

Nakul Agarwal

Pattern Recognit. Lett., 2018

MASON: A Model AgnoStic ObjectNess Framework.

[BibT_eX]

[DOI]

CoRR, 2018

On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks.

[BibT_eX]

[DOI]

Vishwak Srinivasan

CoRR, 2018

Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification.

[BibT_eX]

[DOI]

Vaibhav B. Sinha

Sukrut Rao

CoRR, 2018

Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks.

[BibT_eX]

[DOI]

Aditya Chattopadhyay

Prantik Howlader

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.

[BibT_eX]

[DOI]

Konstantinos Avgerinakis

Naveen Kumar Vedurupaka

Nehal Mamgain

Nitin Bansal

Oliver Acatay

Panagiotis Giannakeris

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

RefocusGAN: Scene Refocusing Using a Single Image.

[BibT_eX]

[DOI]

Parikshit Sakurikar

Ishit Mehta

P. J. Narayanan

Proceedings of the Computer Vision - ECCV 2018, 2018

MASON: A Model AgnoStic ObjectNess Framework.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

<i>ADINE</i>: an adaptive momentum method for stochastic gradient descent.

[BibT_eX]

[DOI]

Vishwak Srinivasan

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Are saddles good enough for neural networks.

[BibT_eX]

[DOI]

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

STwalk: learning trajectory representations in temporal graphs.

[BibT_eX]

[DOI]

Supriya Pandhre

Himangi Mittal

Manish Gupta

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation.

[BibT_eX]

[DOI]

Gattigorla Nagendar

Digvijay Singh

Proceedings of the British Machine Vision Conference 2018, 2018

2017

ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Vishwak Srinivasan

CoRR, 2017

Are Saddles Good Enough for Deep Learning?

[BibT_eX]

[DOI]

CoRR, 2017

Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures.

[BibT_eX]

[DOI]

Tanya Marwah

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras.

[BibT_eX]

[DOI]

Dhaivat Bhatt

Danish Sodhi

K. Madhava Krishna

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Attentive Semantic Video Generation Using Captions.

[BibT_eX]

[DOI]

Tanya Marwah

Proceedings of the IEEE International Conference on Computer Vision, 2017

Sequence-to-Sequence Learning for Human Pose Correction in Videos.

[BibT_eX]

[DOI]

Sirnam Swetha

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Deep Model Compression: Distilling Knowledge from Noisy Teachers.

[BibT_eX]

[DOI]

Bharat Bhusan Sau

CoRR, 2016

Community-based Outlier Detection for Edge-attributed Graphs.

[BibT_eX]

[DOI]

Supriya Pandhre

Manish Gupta

CoRR, 2016

Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures.

[BibT_eX]

[DOI]

Tanya Marwah

CoRR, 2016

DAISEE: Dataset for Affective States in E-Learning Environments.

[BibT_eX]

[DOI]

Abhay Gupta

Richik Jaiswal

Sagar Adhikari

CoRR, 2016

Fine-tuning human pose estimations in videos.

[BibT_eX]

[DOI]

Digvijay Singh

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A crowdsourced approach to student engagement recognition in e-learning environments.

[BibT_eX]

[DOI]

Aditya Kamath

Aradhya Biswas

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015

Adaptive Batch Mode Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.

[BibT_eX]

[DOI]

Qian Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Conformal predictions for information fusion - A comparative study of p-value combination methods.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2015

Model Selection Using Efficiency of Conformal Predictors.

[BibT_eX]

[DOI]

Ritvik Jaiswal

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scaling Up the Training of Deep CNNs for Human Action Recognition.

[BibT_eX]

[DOI]

M. Sai Rajeswar

C. D. Sudheer

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2013

Generalized batch mode active learning for face-based biometric recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

PyCP: An Open-Source Conformal Predictions Toolkit.

[BibT_eX]

[DOI]

Aaron Baker

Matthew Yanez

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Multiresolution Match Kernels for gesture video classification.

[BibT_eX]

[DOI]

Hemanth Venkateswara

Prasanth Lade

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Detection of changes in human affect dimensions using an Adaptive Temporal Topic model.

[BibT_eX]

[DOI]

Prasanth Lade

Hemanth Venkateswara

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Latent Facial Topics for affect analysis.

[BibT_eX]

[DOI]

Prasanth Lade

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Active Matrix Completion.

[BibT_eX]

[DOI]

Jiayu Zhou

Ian Davidson

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

A novel online Variance Based Instance Selection (VBIS) method for efficient atypicality detection in chest radiographs.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image Processing, 2012

A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Efficient atypicality detection in chest radiographs.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Information Science, 2012

Batch Mode Active Learning for Multimedia Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012

2011

Optimal batch selection for active learning in multi-label classification.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models.

[BibT_eX]

[DOI]

Rita Chattopadhyay

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition.

[BibT_eX]

[DOI]

Hemanth Venkateswara

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Dynamic batch mode active learning.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Dynamic Batch Mode Active Learning via L1 Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Conformal Predictions in Multimedia Pattern Recognition.

[BibT_eX]

[DOI]

PhD thesis, 2010

Enriching social situational awareness in remote interactions: insights and inspirations from disability focused research.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Multimedia 2010, 2010

What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Learning from summaries of videos: Applying batch mode active learning to face-based biometrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Generalized Query by Transduction for online active learning.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data.

[BibT_eX]

[DOI]

Ramkiran Gouripeddi

Jenni Harris

Ambika Bhaskaran

Robert M. Siegel

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008

Person-Independent Head Pose Estimation Using Biased Manifold Embedding.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2008

Enriched human-centered multimedia computing through inspirations from disabilities and deficit-centered computing solutions.

[BibT_eX]

[DOI]

Narayanan Chatapuram Krishnan

Troy McDaniel

Proceedings of the 3rd ACM Workshop on Human-Centered Computing, 2008

Multiple cue integration in transductive confidence machines for head pose classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

A wearable wireless RFID system for accessible shopping environments.

[BibT_eX]

[DOI]

Narayanan Chatapuram Krishnan

Colin Juillard

Terri Hedgpeth

Proceedings of the 3rd International ICST Conference on Body Area Networks, 2008

2007

Biased manifold embedding for person-independent head pose estimation.

[BibT_eX]

Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Biased Manifold Embedding: Supervised Isomap for Person-Independent Head Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Computer Graphics. Theory and Applications, 2007

Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation.

[BibT_eX]

[DOI]