8 citations · 20 across the 6 of their papers we have counts for
6 papers
Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Y. Zhang, Amy Lin, Moneish Kumar +3
Estimating camera poses is a fundamental task for 3D reconstruction and remains challenging given sparsely sampled views (<10). In contrast to existing approaches that pursue top-d…
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation
Mohammad Peivandi, Jason Zhang, Michael Lu +2
Brain tumor segmentation presents a formidable challenge in the field of Medical Image Segmentation. While deep-learning models have been useful, human expert segmentation remains…
A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions
Yanyi Chu, Dan Yu, Yupeng Li +5
The 5' UTR, a regulatory region at the beginning of an mRNA molecule, plays a crucial role in regulating the translation process and impacts the protein expression level. Language…
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain
Yun Tang, Antonio A. Bruto da Costa, Jason Zhang +3
Engineering knowledge-based (or expert) systems require extensive manual effort and domain knowledge. As Large Language Models (LLMs) are trained using an enormous amount of cross-…
SUDS: Scalable Urban Dynamic Scenes
Haithem Turki, Jason Y. Zhang, Francesco Ferroni +1
We extend neural radiance fields (NeRFs) to dynamic large-scale urban scenes. Prior work tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons…
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani
We describe a data-driven method for inferring the camera viewpoints given multiple images of an arbitrary object. This task is a core component of classic geometric pipelines such…