most citedFreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20233 cited

Neighborhood Averaging for Improving Outlier Detectors

Jiawei Yang, Susanto Rahardja, Pasi Franti

We hypothesize that similar objects should have similar outlier scores. To our knowledge, all existing outlier detectors calculate the outlier score for each object independently r…

cs.CV20237 cited

FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

Jiawei Yang, Marco Pavone, Yue Wang

Novel view synthesis with sparse inputs is a challenging problem for neural radiance fields (NeRF). Recent efforts alleviate this challenge by introducing external supervision, suc…

astro-ph.IM2023

In-orbit Performance of ME onboard Insight-HXMT in the first 5 years

Ying Tan, Xuelei Cao, Weichun Jiang +16

Introduction: The Medium Energy X-ray telescope (ME) is a collimated X-ray telescope onboard the Insight hard X-ray modulation telescope (Insight-HXMT) satellite. It has 1728 Si-PI…

eess.IV20231 cited

Deep-learning-based on-chip rapid spectral imaging with high spatial resolution

Jiawei Yang, Kaiyu Cui, Yidong Huang +3

Spectral imaging extends the concept of traditional color cameras to capture images across multiple spectral channels and has broad application prospects. Conventional spectral cam…

cs.CV20221 cited

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

Jiawei Yang, Hanbo Chen, Yuan Liang +3

Detectingandsegmentingobjectswithinwholeslideimagesis essential in computational pathology workflow. Self-supervised learning (SSL) is appealing to such annotation-heavy tasks. Des…

cs.CV2022

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Jiawei Yang, Hanbo Chen, Yu Zhao +4

Whole slide image (WSI) classification often relies on deep weakly supervised multiple instance learning (MIL) methods to handle gigapixel resolution images and slide-level labels.…