71 citations · 79 across the 14 of their papers we have counts for
16 papers
Vestrum: Improving Agent Harnesses by Adapting Their Verification, Structure and Memory
Jayant Parashar, Eugene F. Douglass, William C. Bastian +1
An agent harness controls how a language model accesses information, uses tools, preserves memory, and checks its work. Improving this software is costly when each evaluation requi…
Know-Your-Scene (KYS)-SLAM: Hierarchical Semantic-Motion Priors for Feature Matching in Stereo Visual SLAM
Preeti Chatterjee, Jin Lu, Jin Sun +1
Stereo visual SLAM systems built on local descriptors suffer from semantic ambiguity, instance-level confusion, and independently moving objects, each corrupting data association a…
KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning
Jayant Parashar, Suchendra M. Bhandarkar
Context-engineering methods improve a frozen language model by learning text from execution feedback and placing it in the prompt. When one learned prompt carries everything that w…
Fast and Generalizable NeRF Architecture Selection for Satellite Scene Reconstruction
Devjyoti Chakraborty, Zaki Sukma, Rakandhiya D. Rachmanto +6
Neural Radiance Fields (NeRF) have emerged as a powerful approach for photorealistic 3D reconstruction from multi-view images. However, deploying NeRF for satellite imagery remains…
-NeRF: Incremental Refinement of Neural Radiance Fields through Residual Control and Knowledge Transfer
Kriti Ghosh, Devjyoti Chakraborty, Lakshmish Ramaswamy +4
Neural Radiance Fields (NeRFs) have demonstrated remarkable capabilities in 3D reconstruction and novel view synthesis. However, most existing NeRF frameworks require complete retr…
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
Siva Krishna Ravipati, Ehsan Latif, Ramviyas Parasuraman +1
Classification of different object surface material types can play a significant role in the decision-making algorithms for mobile robots and autonomous vehicles. RGB-based scene-l…
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning
Mohammad Al-Saad, Lakshmish Ramaswamy, Suchendra Bhandarkar
Recent studies have shown that video-level representation learning is crucial to the capture and understanding of the long-range temporal structure for video action recognition. Mo…
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM
Brian M. Hopkinson, Suchendra M. Bhandarkar
Structure from Motion (SfM) techniques are being increasingly used to create 3D maps from images in many domains including environmental monitoring. However, SfM techniques are oft…
Multimodal registration of FISH and nanoSIMS images using convolutional neural network models
Xiaojia He, Christof Meile, Suchendra M. Bhandarkar
Nanoscale secondary ion mass spectrometry (nanoSIMS) and fluorescence in situ hybridization (FISH) microscopy provide high-resolution, multimodal image representations of the ident…
Matching Disparate Image Pairs Using Shape-Aware ConvNets
Shefali Srivastava, Abhimanyu Chopra, Arun CS Kumar +2
An end-to-end trainable ConvNet architecture, that learns to harness the power of shape representation for matching disparate image pairs, is proposed. Disparate image pairs are de…
Deep Spectral Correspondence for Matching Disparate Image Pairs
Arun CS Kumar, Shefali Srivastava, Anirban Mukhopadhyay +1
A novel, non-learning-based, saliency-aware, shape-cognizant correspondence determination technique is proposed for matching image pairs that are significantly disparate in nature.…
Local Geometry Inclusive Global Shape Representation
Somenath Das, Suchendra M. Bhandarkar
Knowledge of shape geometry plays a pivotal role in many shape analysis applications. In this paper we introduce a local geometry-inclusive global representation of 3D shapes based…
Eye Tracking for Everyone
Kyle Krafka, Aditya Khosla, Petr Kellnhofer +4
From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, eye tracking has yet to become a perv…
Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
Karan Sharma, Arun CS Kumar, Suchendra Bhandarkar
Significant performance gains in deep learning coupled with the exponential growth of image and video data on the Internet have resulted in the recent emergence of automated image…
Detection and Characterization of Intrinsic Symmetry
Anirban Mukhopadhyay, Suchendra M. Bhandarkar, Fatih Porikli
A comprehensive framework for detection and characterization of overlapping intrinsic symmetry over 3D shapes is proposed. To identify prominent symmetric regions which overlap in…
Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor
Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar +3
The limitations of conventional imaging techniques have hitherto precluded a thorough and formal investigation of the complex morphology of the left ventricular (LV) endocardial su…