Manisha Verma

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 60

Top Venues

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Joachim Vanneste, Manisha Verma, Debasis Ganguly
Detecting and Explaining Emotions in Video Advertisements. SIGIR (2024)
Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
Match them up: visually explainable few-shot image classification. Appl. Intell. 53 (9) (2023)
Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra
Explainable Information Retrieval. SIGIR (2023)
Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy
Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. CIKM (2022)
Santosh Kumar Yadav, Guntaas Singh, Manisha Verma, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh, Peter Corcoran
YogaTube: A Video Benchmark for Yoga Action Recognition. IJCNN (2022)
Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg
First Workshop on Content Understanding and Generation for E-commerce. KDD (2022)
Manisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara
Multi-label Disengagement and Behavior Prediction in Online Learning. AIED (1) (2022)
Manisha Verma, Shaunak Mishra
Recommendation Systems for Ad Creation: A View from the Trenches. RecSys (2022)
Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
MTUNet: Few-Shot Image Classification With Visual Explanations. CVPR Workshops (2021)
Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. IEEE BigData (2021)
Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. ICCV (2021)
Debasis Ganguly, Gareth J. F. Jones, Procheta Sen, Manisha Verma, Dipasree Pal
Report on supporting and understanding of conversational dialogues workshop (SUD 2021) at WSDM 2021. SIGIR Forum 55 (1) (2021)
Manisha Verma, Kapil Thadani, Shaunak Mishra
Powering COVID-19 community Q&A with Curated Side Information. CoRR (2021)
Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. CIKM (2021)
Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. IEEE BigData (2021)
Manisha Verma, Kapil Thadani, Shaunak Mishra
Powering COVID-19 Community Q&A with Curated Side Information. CIKM Workshops (2021)
Debasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones
Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. WSDM (2021)
Manisha Verma, Yuta Nakashima, Hirokazu Kobori, Ryota Takaoka, Noriko Takemura, Tsukasa Kimura, Hajime Nagahara, Masayuki Numao, Kazumitsu Shinohara
Learners' Efficiency Prediction Using Facial Behavior Analysis. ICIP (2021)
Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. CoRR (2021)
Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CVPR Workshops (2020)
Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones
The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. SIGIR (2020)
Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. WACV (2020)
Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. CoRR (2020)
Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CoRR (2020)
Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CoRR (2020)
Nisarg Raval, Manisha Verma
One word at a time: adversarial attacks on retrieval models. CoRR (2020)
Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. WWW (2020)
Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. CoRR (2020)
Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CIKM (2020)
Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. CoRR (2020)
Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. CoRR (2020)
Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
Match Them Up: Visually Explainable Few-shot Image Classification. CoRR (2020)
Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. CoRR (2020)
Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. MIDL (2020)
Debasis Ganguly, Dipasree Pal, Manisha Verma, Procheta Sen
Overview of RCD-2020, the FIRE-2020 track on Retrieval from Conversational Dialogues. FIRE (2020)
Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
Clusters in Explanation Space: Inferring disease subtypes from model explanations. CoRR (2019)
Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. CoRR (2019)
Manisha Verma, Hirokazu Kobori, Yuta Nakashima, Noriko Takemura, Hajime Nagahara
Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features. ICIP (2019)
Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences. CoRR (2019)
Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences. CVPR Workshops (2019)
Manisha Verma, Debasis Ganguly
LIRME: Locally Interpretable Ranking Model Explanation. SIGIR (2019)
Shaunak Mishra, Manisha Verma, Jelena Gligorijevic
Guiding creative design in online advertising. RecSys (2019)
Manisha Verma, Balasubramanian Raman
Local neighborhood difference pattern: A new feature descriptor for natural and texture image retrieval. Multim. Tools Appl. 77 (10) (2018)
Manisha Verma, Emine Yilmaz, Nick Craswell
Study of Relevance and Effort across Devices. CHIIR (2018)
Manisha Verma, Ramyani Ghosh, Shanmuganathan Raman
Saliency Driven Video Motion Magnification. NCVPRIPG (2017)
Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell
TREC Complex Answer Retrieval Overview. TREC (2017)
Manisha Verma, Shanmuganathan Raman
Edge-Aware Spatial Filtering-Based Motion Magnification. CVIP (2) (2017)
Manisha Verma, Nathan Francis
On Utility of Temporal Embeddings in Skill Matching. ICDM Workshops (2017)
Manisha Verma, Shanmuganathan Raman
Interest Region Based Motion Magnification. ICIAP (1) (2017)
Manisha Verma, Emine Yilmaz
Search Costs vs. User Satisfaction on Mobile. ECIR (2017)
Manisha Verma, Emine Yilmaz
Characterizing Relevance on Mobile and Desktop. ECIR (2016)
Manisha Verma, Emine Yilmaz
Category Oriented Task Extraction. CHIIR (2016)
Manisha Verma
Going Beyond Relevance: Incorporating Effort in Information Retrieval. SIGIR (2016)
Madhumanti Dey, Balasubramanian Raman, Manisha Verma
A novel colour- and texture-based image retrieval technique using multi-resolution local extrema peak valley pattern and RGB colour histogram. Pattern Anal. Appl. 19 (4) (2016)
Manisha Verma, Nitakshi Sood, Partha Pratim Roy, Balasubramanian Raman
Script Identification in Natural Scene Images: A Dataset and Texture-Feature Based Performance Evaluation. CVIP (2) (2016)
Manisha Verma, Emine Yilmaz, Nick Craswell
On Obtaining Effort Based Judgements for Information Retrieval. WSDM (2016)
Manisha Verma, Balasubramanian Raman
Local tri-directional patterns: A new texture feature descriptor for image retrieval. Digit. Signal Process. 51 (2016)
Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey
Overview of the TREC Tasks Track 2016. TREC (2016)
Manisha Verma, Balasubramanian Raman
A Hierarchical Shot Boundary Detection Algorithm Using Global and Local Features. CVIP (2) (2016)
Manisha Verma, Balasubramanian Raman
Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval. J. Vis. Commun. Image Represent. 32 (2015)
Asha Rani, Manisha Verma, Balasubramanian Raman
Fusion of submanifold and local texture features for palmprint authentication. VCIP (2015)
Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell
Overview of the TREC 2015 Tasks Track. TREC (2015)
Manisha Verma, Raman Balasubramanian, Subrahmanyam Murala
Local extrema co-occurrence pattern for color and texture image retrieval. Neurocomputing 165 (2015)
Manisha Verma, Balasubramanian Raman
Object tracking using joint histogram of color and local rhombus pattern. ICSIPA (2015)
Manisha Verma, Emine Yilmaz
Entity Oriented Task Extraction from Query Logs. CIKM (2014)
Manisha Verma, Diego Ceccarelli
Bringing Head Closer to the Tail with Entity Linking. ESAIR (2014)
Rishabh Mehrotra, Emine Yilmaz, Manisha Verma
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters (2014)
Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey
Relevance and Effort: An Analysis of Document Utility. CIKM (2014)
Manisha Verma, Raman Balasubramanian, Subrahmanyam Murala
Multi-resolution Local extrema patterns using discrete wavelet transform. IC3 (2014)
Manisha Verma, Vasudeva Varma
Patent search using IPC classification vectors. PaIR@CIKM (2011)
Manisha Verma, Vasudeva Varma
Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. CLEF (Notebook Papers/Labs/Workshop) (2011)
Manisha Verma, Vasudeva Varma
Applying key phrase extraction to aid invalidity search. ICAIL (2011)
Thulasi Ram Naidu, Manisha Verma, Venkatesh Choppella, Gangadhar Chalapakay
Synthesizing customizable learning environments. T4E (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manisha Verma