• TreeGCN-ED: encoding point cloud using a tree-structured graph network 

  Singh, Prajwal; Sadekar, Kaustubh; Raman, Shanmuganathan (Cornell University Library, 2021-10)

  Point cloud is an efficient way of representing and storing 3D geometric data. Deep learning algorithms on point clouds are time and memory efficient. Several methods such as PointNet and FoldingNet have been proposed for ...
• TabLeX: a benchmark dataset for structure and content information extraction from scientific tables 

  Desai, Harsh; Kayal, Pratik; Singh, Mayank (05-09-21)
• HDRVideo-GAN: deep generative HDR video reconstruction 

  Anand, Mrinal; Harilal, Nidhin; Kumar, Chandan; Raman, Shanmuganathan (19-12-21)
• ICDAR 2021 competition on scientific table image recognition to LaTeX 

  Kayal, Pratik; Anand, Mrinal; Desai, Harsh; Singh, Mayank (05-09-21)
• Shadow art revisited: a differentiable rendering based approach 

  Sadekar, Kaustubh; Tiwari, Ashish; Raman, Shanmuganathan (04-01-22)
• Low-dose dynamic CT perfusion denoising without training data 

  Sudarshan, Viswanath P.; Athul Kumar, R.; Reddy, Pavan Kumar; Gubbi, Jayavardhana; Purushothaman, Balamuralidhar (27-09-21)
• A novel approach towards early detection of Alzheimer�s disease using deep learning on magnetic resonance images 

  Yadav, Kushpal Singh; Miyapuram, Krishna Prasad (17-09-21)
• Backbone optical network densification (BOND): towards the realization of high-capacity next-generation optical fiber backbone networks 

  Agrawal, Anuj; Kulkarni, Sameer G. (24-09-21)
• A parameterized perspective on protecting elections 

  Dey, Palash; Misra, Neeldhara; Nath, Swaprava; Shakya, Garima (Elsevier, 2021-06)

  We study the parameterized complexity of the Optimal Defense and Optimal Attack problems in voting. In both the problems, the input is a set of voter groups (every voter group is a district consisting of a set of votes) ...
• ICDAR 2021 competition on scientific table image recognition to LaTeX 

  Kayal, Pratik; Anand, Mrinal; Desai, Harsh; Singh, Mayank (Cornell University Library, 2021-05)

  Tables present important information concisely in many scientific documents. Visual features like mathematical symbols, equations, and spanning cells make structure and content extraction from tables embedded in research ...
• Challenges and limitations with the metrics measuring the complexity of code-mixed text 

  Srivastava , Vivek; Singh, Mayank (11-06-21)
• TabLeX: a benchmark dataset for structure and content information extraction from scientific tables 

  Desai, Harsh; Kayal, Pratik; Singh, Mayank (Cornell University, 2021-05)

  Information Extraction (IE) from the tables present in scientific articles is challenging due to complicated tabular representations and complex embedded text. This paper presents TabLeX, a large-scale benchmark dataset ...
• Analyzing topic transitions in text-based social cascades using dual-network Hawkes process 

  Choudhari, Jayesh; Bedathur, Srikanta; Bhattacharya, Indrajit; Dasgupta, Anirban (11-05-21)
• Survey on modeling intensity function of Hawkes process using neural models 

  Malaviya, Jayesh (Cornell University Library, 2021-04)

  The event sequence of many diverse systems is represented as a sequence of discrete events in a continuous space. Examples of such an event sequence are earthquake aftershock events, financial transactions, e-commerce ...
• Vartalaap: what drives #airquality discussions: politics, pollution or pseudo-science? 

  Adhikary, Rishiraj; Patel, Zeel B.; Srivastava, Tanmay; Batra, Nipun; Singh, Mayank; Bhatia, Udit; Guttikunda, Sarath (Association for Computing Machinery, 2021-04)

  Air pollution is a global challenge for cities across the globe. Understanding the public perception of air pollution can help policymakers engage better with the public and appropriately introduce policies. Accurate public ...
• DY*: a modular symbolic verification framework for executable cryptographic protocol code 

  Bhargavan, Karthikeyan; Bichhawat, Abhishek; Huy Do, Quoc; Hosseyni, Pedram; Kusters, Ralf; Schmitz, Guido; Wurtele, Tim (2021-09-06)
• Statistical measures for defining curriculum scoring function 

  Sadasivan, Vinu Sankar; Dasgupta, Anirban (Cornell University Library, 2021-02)

  Curriculum learning is a training strategy that sorts the training examples by some measure of their difficulty and gradually exposes them to the learner to improve the network performance. In this work, we propose two ...
• A simple trilingual app for determining near-surface soil moisture 

  Kalra, Kanishk; Gadi, Vinay Kumar; Alybaev, Dastan; Garg, Ankit; Sreedeep, S.; Sahoo, Lingaraj (Springer Verlag, 2021-02)

  The locust has been devastating pest, which destructs the crops and pastures. Scientists discover the breeding habitats of locust based on soil surface water content (SWC) to devise preventive measures. Hence, accurate ...
• Improved FPT algorithms for deletion to forest-like structures 

  Gowda, Kishen N.; Lonkar, Aditya; Panolan, Fahad; Patel, Vraj; Saurabh, Saket (14-12-20)
• Compact data structures for Dedekind groups and finite rings 

  Das, Bireswar; Sharma, Shivdutt (28-02-21)

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