Publications (10)
Beyond Trial-and-Error: Agentic Optimization for Image-to-Video Adherence
Aman Tyagi, Hemanth Boinpally, Jonathan Chen +2
Modern black-box Image-to-Video (I2V) models offer powerful capabilities in automated content creation, yet their lack of fine-grained control and reliability presents significant…
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction
Steven Hickson, Karthik Raveendran, Alireza Fathi +2
We propose 4 insights that help to significantly improve the performance of deep learning models that predict surface normals and semantic labels from a single RGB image. These ins…
Object category learning and retrieval with weak supervision
Steven Hickson, Anelia Angelova, Irfan Essa +1
We consider the problem of retrieving objects from image data and learning to classify them into meaningful semantic categories with minimal supervision. To that end, we propose a…
Predicting Daily Activities From Egocentric Images Using Deep Learning
Daniel Castro, Steven Hickson, Vinay Bettadapura +4
We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict ever…
Efficient Hierarchical Graph-Based Segmentation of RGBD Videos
Steven Hickson, Stan Birchfield, Irfan Essa +1
We present an efficient and scalable algorithm for segmenting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based…
An Energy Minimization Approach to 3D Non-Rigid Deformable Surface Estimation Using RGBD Data
Bryan Willimon, Steven Hickson, Ian Walker +1
We propose an algorithm that uses energy mini- mization to estimate the current configuration of a non-rigid object. Our approach utilizes an RGBD image to calculate corresponding…