12 citations · 24 across the 6 of their papers we have counts for
7 papers
Monitored Distillation for Positive Congruent Depth Completion
Tian Yu Liu, Parth Agrawal, Allison Chen +2
We propose a method to infer a dense depth map from a single image, its calibration, and the associated sparse point cloud. In order to leverage existing models (teachers) that pro…
Stereoscopic Universal Perturbations across Different Architectures and Datasets
Zachary Berger, Parth Agrawal, Tian Yu Liu +2
We study the effect of adversarial perturbations of images on deep stereo matching networks for the disparity estimation task. We present a method to craft a single set of perturba…
Triplet Contrastive Learning for Brain Tumor Classification
Tian Yu Liu, Jiashi Feng
Brain tumor is a common and fatal form of cancer which affects both adults and children. The classification of brain tumors into different types is hence a crucial task, as it grea…
Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent
Tian Liu, Lichun Wang, Shaofan Wang
Fusing low level and high level features is a widely used strategy to provide details that might be missing during convolution and pooling. Different from previous works, we propos…
Solution space structure of random constraint satisfaction problems with growing domains
Wei Xu, Pan Zhang, Tian Liu +1
In this paper we study the solution space structure of model RB, a standard prototype of Constraint Satisfaction Problem (CSPs) with growing domains. Using rigorous the first and t…
Predicting Contextual Sequences via Submodular Function Maximization
Debadeepta Dey, Tian Yu Liu, Martial Hebert +1
Sequence optimization, where the items in a list are ordered to maximize some reward has many applications such as web advertisement placement, search, and control libraries in rob…