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09/01/2023
Point-Bind Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
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11/23/2022
Video Instance Shadow Detection
Video instance shadow detection aims to simultaneously detect, segment, ...
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03/24/2022
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Precise congestion prediction from a placement solution plays a crucial ...
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02/17/2022
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery
Surgical instrument segmentation – in general a pixel classification tas...
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09/13/2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Modern deep neural networks struggle to transfer knowledge and generaliz...
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08/30/2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Autonomous surgical execution relieves tedious routines and surgeon's fa...
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11/16/2019
Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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07/13/2019
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Surgical tool presence detection and surgical phase recognition are two ...
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02/21/2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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06/05/2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
The analysis of glandular morphology within colon histopathology images ...
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05/12/2018
