Manisha Verma - RankMe

79 papers A* 8A 12B 5C 2Journal 23Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LIBS: Instructional Action Quality Assessment via Supervoxel-Based Fine-Grained Attribution. IEEE Trans. Computers Xiaoyi Tao, Dongxu Ma, Liangzhi Li, Manisha Verma, Lei Chen, Xin Xie, Sheng Chen, Wenxin Li, Jien Kato, Bing Zhang, Xu Hu, Xiulong Liu
2026	—	`conf`	Source Free Domain Adaptation for Retinal Image Segmentation Using Fourier Style Augmentation. NCC Chumki Dey, Manisha Verma, Sudhakar Kumawat
2025	—	`conf`	QD-RetNet: Efficient Retinal Disease Classification via Quantized Knowledge Distillation. MIUA (3) Ashutosh Kumar, Manisha Verma
2024	—	`conf`	Comparative Study of Machine Learning Algorithms for Traffic Accident Prediction and Prevention. ICCCNT Manisha Verma, Bharti Sharma, Chikkakrishna Naveen Kumar
2024	A*	`conf`	Detecting and Explaining Emotions in Video Advertisements. SIGIR Joachim Vanneste, Manisha Verma, Debasis Ganguly
2023	A*	`conf`	Explainable Information Retrieval. SIGIR Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra
2023	J	`jnl`	Match them up: visually explainable few-shot image classification. Appl. Intell. Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2022	J	`jnl`	Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman
2022	A*	`conf`	First Workshop on Content Understanding and Generation for E-commerce. KDD Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia B. Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg
2022	A	`conf`	Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. CIKM Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy
2022	—	`conf`	Multi-label Disengagement and Behavior Prediction in Online Learning. AIED (1) Manisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara
2022	A	`conf`	Recommendation Systems for Ad Creation: A View from the Trenches. RecSys Manisha Verma, Shaunak Mishra
2022	B	`conf`	YogaTube: A Video Benchmark for Yoga Action Recognition. IJCNN Santosh Kumar Yadav, Guntaas Singh, Manisha Verma, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh, Peter Corcoran
2021	—	`conf`	BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. IEEE BigData Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma
2021	—	`conf`	Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. IEEE BigData Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen
2021	B	`conf`	Learners' Efficiency Prediction Using Facial Behavior Analysis. ICIP Manisha Verma, Yuta Nakashima, Hirokazu Kobori, Ryota Takaoka, Noriko Takemura, Tsukasa Kimura, Hajime Nagahara, Masayuki Numao, Kazumitsu Shinohara
2021	—	`conf`	MTUNet: Few-Shot Image Classification With Visual Explanations. CVPR Workshops Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2021	A	`conf`	Overview of the Supporting and Understanding of Conversational Dialogues (SUD) Workshop. WSDM Debasis Ganguly, Manisha Verma, Procheta Sen, Dipasree Pal, Gareth J. F. Jones
2021	—	`conf`	Powering COVID-19 Community Q&A with Curated Side Information. CIKM Workshops Manisha Verma, Kapil Thadani, Shaunak Mishra
2021	J	`jnl`	Powering COVID-19 community Q&A with Curated Side Information. CoRR Manisha Verma, Kapil Thadani, Shaunak Mishra
2021	J	`jnl`	Report on supporting and understanding of conversational dialogues workshop (SUD 2021) at WSDM 2021. SIGIR Forum Debasis Ganguly, Gareth J. F. Jones, Procheta Sen, Manisha Verma, Dipasree Pal
2021	A*	`conf`	SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. ICCV Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2021	A	`conf`	TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. CIKM Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
2021	J	`jnl`	TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. CoRR Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
2020	J	`jnl`	Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition. CoRR Sudhakar Kumawat, Manisha Verma, Yuta Nakashima, Shanmuganathan Raman
2020	J	`jnl`	Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. CoRR Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	A	`conf`	IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. WACV Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki
2020	—	`conf`	Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. MIDL Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	J	`jnl`	Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. CoRR Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	A	`conf`	Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CIKM Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
2020	J	`jnl`	Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. CoRR Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
2020	J	`jnl`	Match Them Up: Visually Explainable Few-shot Image Classification. CoRR Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	J	`jnl`	One word at a time: adversarial attacks on retrieval models. CoRR Nisarg Raval, Manisha Verma
2020	—	`conf`	Overview of RCD-2020, the FIRE-2020 track on Retrieval from Conversational Dialogues. FIRE Debasis Ganguly, Dipasree Pal, Manisha Verma, Procheta Sen
2020	A*	`conf`	Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. WWW Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
2020	J	`jnl`	Recommending Themes for Ad Creative Design via Visual-Linguistic Representations. CoRR Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
2020	J	`jnl`	SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. CoRR Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	A*	`conf`	The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. SIGIR Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones
2020	—	`conf`	Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CVPR Workshops Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman
2020	J	`jnl`	Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. CoRR Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman
2019	J	`jnl`	Clusters in Explanation Space: Inferring disease subtypes from model explanations. CoRR Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
2019	B	`conf`	Facial Expression Recognition with Skip-Connection to Leverage Low-Level Features. ICIP Manisha Verma, Hirokazu Kobori, Yuta Nakashima, Noriko Takemura, Hajime Nagahara
2019	A	`conf`	Guiding creative design in online advertising. RecSys Shaunak Mishra, Manisha Verma, Jelena Gligorijevic
2019	J	`jnl`	IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. CoRR Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki
2019	—	`conf`	LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition From Image Sequences. CVPR Workshops Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
2019	J	`jnl`	LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences. CoRR Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
2019	A*	`conf`	LIRME: Locally Interpretable Ranking Model Explanation. SIGIR Manisha Verma, Debasis Ganguly
2018	J	`jnl`	Local neighborhood difference pattern: A new feature descriptor for natural and texture image retrieval. Multim. Tools Appl. Manisha Verma, Balasubramanian Raman
2018	B	`conf`	Study of Relevance and Effort across Devices. CHIIR Manisha Verma, Emine Yilmaz, Nick Craswell
2017	—	`conf`	Edge-Aware Spatial Filtering-Based Motion Magnification. CVIP (2) Manisha Verma, Shanmuganathan Raman
2017	—	`—`	Going beyond relevance: role of effort in information retrieval. Manisha Verma
2017	—	`conf`	Interest Region Based Motion Magnification. ICIAP (1) Manisha Verma, Shanmuganathan Raman
2017	—	`conf`	On Utility of Temporal Embeddings in Skill Matching. ICDM Workshops Manisha Verma, Nathan Francis
2017	—	`conf`	Saliency Driven Video Motion Magnification. NCVPRIPG Manisha Verma, Ramyani Ghosh, Shanmuganathan Raman
2017	A	`conf`	Search Costs vs. User Satisfaction on Mobile. ECIR Manisha Verma, Emine Yilmaz
2017	—	`conf`	TREC Complex Answer Retrieval Overview. TREC Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell
2016	—	`conf`	A Hierarchical Shot Boundary Detection Algorithm Using Global and Local Features. CVIP (2) Manisha Verma, Balasubramanian Raman
2016	J	`jnl`	A novel colour- and texture-based image retrieval technique using multi-resolution local extrema peak valley pattern and RGB colour histogram. Pattern Anal. Appl. Madhumanti Dey, Balasubramanian Raman, Manisha Verma
2016	B	`conf`	Category Oriented Task Extraction. CHIIR Manisha Verma, Emine Yilmaz
2016	A	`conf`	Characterizing Relevance on Mobile and Desktop. ECIR Manisha Verma, Emine Yilmaz
2016	A*	`conf`	Going Beyond Relevance: Incorporating Effort in Information Retrieval. SIGIR Manisha Verma
2016	J	`jnl`	Local tri-directional patterns: A new texture feature descriptor for image retrieval. Digit. Signal Process. Manisha Verma, Balasubramanian Raman
2016	A	`conf`	On Obtaining Effort Based Judgements for Information Retrieval. WSDM Manisha Verma, Emine Yilmaz, Nick Craswell
2016	—	`conf`	Overview of the TREC Tasks Track 2016. TREC Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey
2016	—	`conf`	Script Identification in Natural Scene Images: A Dataset and Texture-Feature Based Performance Evaluation. CVIP (2) Manisha Verma, Nitakshi Sood, Partha Pratim Roy, Balasubramanian Raman
2015	J	`jnl`	Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval. J. Vis. Commun. Image Represent. Manisha Verma, Balasubramanian Raman
2015	C	`conf`	Fusion of submanifold and local texture features for palmprint authentication. VCIP Asha Rani, Manisha Verma, Balasubramanian Raman
2015	J	`jnl`	Local extrema co-occurrence pattern for color and texture image retrieval. Neurocomputing Manisha Verma, Raman Balasubramanian, Subrahmanyam Murala
2015	—	`conf`	Object tracking using joint histogram of color and local rhombus pattern. ICSIPA Manisha Verma, Balasubramanian Raman
2015	—	`conf`	Overview of the TREC 2015 Tasks Track. TREC Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell
2014	—	`conf`	Bringing Head Closer to the Tail with Entity Linking. ESAIR Manisha Verma, Diego Ceccarelli
2014	A	`conf`	Entity Oriented Task Extraction from Query Logs. CIKM Manisha Verma, Emine Yilmaz
2014	—	`conf`	Multi-resolution Local extrema patterns using discrete wavelet transform. IC3 Manisha Verma, Raman Balasubramanian, Subrahmanyam Murala
2014	A	`conf`	Relevance and Effort: An Analysis of Document Utility. CIKM Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey
2014	—	`conf`	Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters Rishabh Mehrotra, Emine Yilmaz, Manisha Verma
2011	C	`conf`	Applying key phrase extraction to aid invalidity search. ICAIL Manisha Verma, Vasudeva Varma
2011	—	`conf`	Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. CLEF (Notebook Papers/Labs/Workshop) Manisha Verma, Vasudeva Varma
2011	—	`conf`	Patent search using IPC classification vectors. PaIR@CIKM Manisha Verma, Vasudeva Varma
2010	—	`conf`	Synthesizing customizable learning environments. T4E Thulasi Ram Naidu, Manisha Verma, Venkatesh Choppella, Gangadhar Chalapakay