activity
20202026
most citedRecognition-Aware Learned Image Compression

9 citations · 22 across the 18 of their papers we have counts for

collaborators

19 papers

cs.RO2026

OPAL: Omnidirectional Path-efficient Aerial 3D expLoration

Yoga Satwik Chappidi, Avideh Zakhor

Autonomous exploration is critical for robot mapping unknown environments. Desirable characteristics of exploration algorithms include compute efficiency and small traversed distan…

cs.RO2026

Vision-Guided Outdoor Flight and Obstacle Evasion via Reinforcement Learning

Shiladitya Dutta, Aayush Gupta, Varun Saran +1

Although quadcopters boast impressive traversal capabilities enabled by their omnidirectional maneuverability, the need for continuous pilot control in complex environments impedes…

cs.RO2026

Autonomous Frontier-Based Exploration with VLM Guidance

Aarush Aitha, Avideh Zakhor

Autonomous robotic exploration of unknown and hazardous environments, a long-standing challenge, can be significantly improved by leveraging the advanced reasoning of Vision-Langua…

cs.RO2026

Semantic-Aware Guided Drone Exploration for Language-Conditioned 3D Indoor Mapping

Nitin Vegesna, Avideh Zakhor

We present Semantic-Aware Guided Exploration, SAGE, a system for open-vocabulary exploration in unknown 3D indoor environments that preserves coverage-oriented behavior while allow…

cs.CV2026

Indoor Asset Detection in Large Scale 360° Drone-Captured Imagery via 3D Gaussian Splatting

Monica Tang, Avideh Zakhor

We present an approach for object-level detection and segmentation of target indoor assets in 3D Gaussian Splatting (3DGS) scenes, reconstructed from 360° drone-captured imagery. W…

cs.RO2024

Versatile Locomotion Skills for Hexapod Robots

Tomson Qu, Dichen Li, Avideh Zakhor +2

Hexapod robots are potentially suitable for carrying out tasks in cluttered environments since they are stable, compact, and light weight. They also have multi-joint legs and varia…

cs.CV2024

Swap Path Network for Robust Person Search Pre-training

Lucas Jaffe, Avideh Zakhor

In person search, we detect and rank matches to a query person image within a set of gallery scenes. Most person search models make use of a feature extraction backbone, followed b…

cs.CV2024

Scalable Indoor Novel-View Synthesis using Drone-Captured 360 Imagery with 3D Gaussian Splatting

Yuanbo Chen, Chengyu Zhang, Jason Wang +2

Scene reconstruction and novel-view synthesis for large, complex, multi-story, indoor scenes is a challenging and time-consuming task. Prior methods have utilized drones for data c…

cs.CV2024

Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images

Qingyuan Liu, Avideh Zakhor

Melanoma segmentation in Whole Slide Images (WSIs) is useful for prognosis and the measurement of crucial prognostic factors such as Breslow depth and primary invasive tumor size.…

cs.CV2022

Gallery Filter Network for Person Search

Lucas Jaffe, Avideh Zakhor

In person search, we aim to localize a query person from one scene in other gallery scenes. The cost of this search operation is dependent on the number of gallery scenes, making i…

cs.CV2022★ 1 cited

Misinformation Detection in Social Media Video Posts

Kehan Wang, David Chan, Seth Z. Zhao +2

With the growing adoption of short-form video by social media platforms, reducing the spread of misinformation through video posts has become a critical challenge for social media…

eess.IV2022★ 9 cited

Recognition-Aware Learned Image Compression

Maxime Kawawa-Beaudan, Ryan Roggenkemper, Avideh Zakhor

Learned image compression methods generally optimize a rate-distortion loss, trading off improvements in visual distortion for added bitrate. Increasingly, however, compressed imag…

cs.CV2022

Drone Object Detection Using RGB/IR Fusion

Lizhi Yang, Ruhang Ma, Avideh Zakhor

Object detection using aerial drone imagery has received a great deal of attention in recent years. While visible light images are adequate for detecting objects in most scenarios,…

cs.NI2021

Immediate Proximity Detection Using Wi-Fi-Enabled Smartphones

Zach Van Hyfte, Avideh Zakhor

Smartphone apps for exposure notification and contact tracing have been shown to be effective in controlling the COVID-19 pandemic. However, Bluetooth Low Energy tokens similar to…

cs.CV2021★ 1 cited

Multi-Modal Semantic Inconsistency Detection in Social Media News Posts

Scott McCrae, Kehan Wang, Avideh Zakhor

As computer-generated content and deepfakes make steady improvements, semantic approaches to multimedia forensics will become more important. In this paper, we introduce a novel cl…

cs.CV2021★ 5 cited

Fast, Accurate Barcode Detection in Ultra High-Resolution Images

Jerome Quenum, Kehan Wang, Avideh Zakhor

Object detection in Ultra High-Resolution (UHR) images has long been a challenging problem in computer vision due to the varying scales of the targeted objects. When it comes to ba…

cs.CV2020★ 3 cited

Temporal LiDAR Frame Prediction for Autonomous Driving

David Deng, Avideh Zakhor

Anticipating the future in a dynamic scene is critical for many fields such as autonomous driving and robotics. In this paper we propose a class of novel neural network architectur…

cs.CV2020★ 1 cited

GenScan: A Generative Method for Populating Parametric 3D Scan Datasets

Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas +2

The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To…

cs.CV2020★ 2 cited

Duodepth: Static Gesture Recognition Via Dual Depth Sensors

Ilya Chugunov, Avideh Zakhor

Static gesture recognition is an effective non-verbal communication channel between a user and their devices; however many modern methods are sensitive to the relative pose of the…