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2020 – today
- 2024
[c52]Joachim Vanneste
, Manisha Verma, Debasis Ganguly:
Detecting and Explaining Emotions in Video Advertisements. SIGIR 2024: 2734-2738- 2023
- [j8]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): 10956-10977 (2023) - [c51]Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra:
Explainable Information Retrieval. SIGIR 2023: 3448-3451 - 2022
- [j7]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): 4839-4851 (2022) - [c50]Manisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara:
Multi-label Disengagement and Behavior Prediction in Online Learning. AIED (1) 2022: 633-639 - [c49]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: 4449-4453 - [c48]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: 1-8 - [c47]Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia B. Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg:
First Workshop on Content Understanding and Generation for E-commerce. KDD 2022: 4888-4889 - [c46]Manisha Verma, Shaunak Mishra:
Recommendation Systems for Ad Creation: A View from the Trenches. RecSys 2022: 525-527 - 2021
- [j6]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): 5:1-5:7 (2021) - [c45]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: 5950-5952 - [c44]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: 5953-5955 - [c43]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: 4036-4045 - [c42]Manisha Verma, Kapil Thadani, Shaunak Mishra:
Powering COVID-19 Community Q&A with Curated Side Information. CIKM Workshops 2021 - [c41]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
MTUNet: Few-Shot Image Classification With Visual Explanations. CVPR Workshops 2021: 2294-2298 - [c40]Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. ICCV 2021: 1026-1035 - [c39]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: 1084-1088 - [c38]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: 1163-1164 - [i14]Manisha Verma, Kapil Thadani, Shaunak Mishra:
Powering COVID-19 community Q&A with Curated Side Information. CoRR abs/2101.11556 (2021) - [i13]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 abs/2108.08226 (2021) - 2020
- [c37]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: 2653-2660 - [c36]Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman:
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CVPR Workshops 2020: 4472-4479 - [c35]Debasis Ganguly, Dipasree Pal, Manisha Verma, Procheta Sen:
Overview of RCD-2020, the FIRE-2020 track on Retrieval from Conversational Dialogues. FIRE 2020: 33-36 - [c34]Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. MIDL 2020: 440-453 - [c33]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: 2069-2072 - [c32]Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. WACV 2020: 3645-3654 - [c31]Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang:
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. WWW 2020: 2521-2527 - [i12]Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang:
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. CoRR abs/2001.07194 (2020) - [i11]Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman:
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CoRR abs/2004.10362 (2020) - [i10]Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. CoRR abs/2005.13337 (2020) - [i9]Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman:
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. CoRR abs/2007.11365 (2020) - [i8]Nisarg Raval, Manisha Verma:
One word at a time: adversarial attacks on retrieval models. CoRR abs/2008.02197 (2020) - [i7]Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang:
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CoRR abs/2008.07467 (2020) - [i6]Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. CoRR abs/2009.06138 (2020) - [i5]Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. CoRR abs/2011.03772 (2020) - [i4]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Match Them Up: Visually Explainable Few-shot Image Classification. CoRR abs/2011.12527 (2020)
2010 – 2019
- 2019
- [c30]Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman:
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences. CVPR Workshops 2019: 207-216 - [c29]Manisha Verma, Hirokazu Kobori, Yuta Nakashima, Noriko Takemura, Hajime Nagahara:
Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features. ICIP 2019: 51-55 - [c28]Shaunak Mishra, Manisha Verma, Jelena Gligorijevic:
Guiding creative design in online advertising. RecSys 2019: 418-422 - [c27]Manisha Verma, Debasis Ganguly:
LIRME: Locally Interpretable Ranking Model Explanation. SIGIR 2019: 1281-1284 - [i3]Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman:
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences. CoRR abs/1904.07647 (2019) - [i2]Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. CoRR abs/1912.05763 (2019) - [i1]Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis:
Clusters in Explanation Space: Inferring disease subtypes from model explanations. CoRR abs/1912.08755 (2019) - 2018
- [j5]Manisha Verma, Balasubramanian Raman:
Local neighborhood difference pattern: A new feature descriptor for natural and texture image retrieval. Multim. Tools Appl. 77(10): 11843-11866 (2018) - [c26]Manisha Verma, Emine Yilmaz, Nick Craswell:
Study of Relevance and Effort across Devices. CHIIR 2018: 309-312 - 2017
- [b1]Manisha Verma:
Going beyond relevance: role of effort in information retrieval. University College London, UK, 2017 - [c25]Manisha Verma, Shanmuganathan Raman:
Edge-Aware Spatial Filtering-Based Motion Magnification. CVIP (2) 2017: 117-128 - [c24]Manisha Verma, Emine Yilmaz:
Search Costs vs. User Satisfaction on Mobile. ECIR 2017: 698-704 - [c23]Manisha Verma, Nathan Francis:
On Utility of Temporal Embeddings in Skill Matching. ICDM Workshops 2017: 237-241 - [c22]Manisha Verma, Shanmuganathan Raman:
Interest Region Based Motion Magnification. ICIAP (1) 2017: 27-39 - [c21]Manisha Verma, Ramyani Ghosh, Shanmuganathan Raman:
Saliency Driven Video Motion Magnification. NCVPRIPG 2017: 89-100 - [c20]Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell:
TREC Complex Answer Retrieval Overview. TREC 2017 - 2016
- [j4]Manisha Verma, Balasubramanian Raman:
Local tri-directional patterns: A new texture feature descriptor for image retrieval. Digit. Signal Process. 51: 62-72 (2016) - [j3]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): 1159-1179 (2016) - [c19]Manisha Verma, Emine Yilmaz:
Category Oriented Task Extraction. CHIIR 2016: 333-336 - [c18]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: 309-319 - [c17]Manisha Verma, Balasubramanian Raman:
A Hierarchical Shot Boundary Detection Algorithm Using Global and Local Features. CVIP (2) 2016: 389-397 - [c16]Manisha Verma, Emine Yilmaz:
Characterizing Relevance on Mobile and Desktop. ECIR 2016: 212-223 - [c15]Manisha Verma:
Going Beyond Relevance: Incorporating Effort in Information Retrieval. SIGIR 2016: 1173 - [c14]Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey:
Overview of the TREC Tasks Track 2016. TREC 2016 - [c13]Manisha Verma, Emine Yilmaz, Nick Craswell:
On Obtaining Effort Based Judgements for Information Retrieval. WSDM 2016: 277-286 - 2015
- [j2]Manisha Verma, Raman Balasubramanian, Subrahmanyam Murala:
Local extrema co-occurrence pattern for color and texture image retrieval. Neurocomputing 165: 255-269 (2015) - [j1]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: 224-236 (2015) - [c12]Manisha Verma, Balasubramanian Raman:
Object tracking using joint histogram of color and local rhombus pattern. ICSIPA 2015: 77-82 - [c11]Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell:
Overview of the TREC 2015 Tasks Track. TREC 2015 - [c10]Asha Rani, Manisha Verma, Balasubramanian Raman:
Fusion of submanifold and local texture features for palmprint authentication. VCIP 2015: 1-4 - 2014
- [c9]Manisha Verma, Diego Ceccarelli:
Bringing Head Closer to the Tail with Entity Linking. ESAIR 2014: 37-39 - [c8]Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey:
Relevance and Effort: An Analysis of Document Utility. CIKM 2014: 91-100 - [c7]Manisha Verma, Emine Yilmaz:
Entity Oriented Task Extraction from Query Logs. CIKM 2014: 1975-1978 - [c6]Manisha Verma, Raman Balasubramanian, Subrahmanyam Murala:
Multi-resolution Local extrema patterns using discrete wavelet transform. IC3 2014: 577-582 - [c5]Rishabh Mehrotra, Emine Yilmaz, Manisha Verma:
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters 2014 - 2011
- [c4]Manisha Verma, Vasudeva Varma:
Patent search using IPC classification vectors. PaIR@CIKM 2011: 9-12 - [c3]Manisha Verma, Vasudeva Varma:
Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c2]Manisha Verma, Vasudeva Varma:
Applying key phrase extraction to aid invalidity search. ICAIL 2011: 249-255 - 2010
- [c1]Thulasi Ram Naidu, Manisha Verma, Venkatesh Choppella, Gangadhar Chalapakay:
Synthesizing customizable learning environments. T4E 2010: 122-129
Coauthor Index
aka: Raman Balasubramanian
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last updated on 2024-07-20 21:17 CEST by the dblp team
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