Search Results for author: Tieru Wu

Found 8 papers, 3 papers with code

TaylorGrid: Towards Fast and High-Quality Implicit Field Learning via Direct Taylor-based Grid Optimization

no code implementations22 Feb 2024 Renyi Mao, Qingshan Xu, Peng Zheng, Ye Wang, Tieru Wu, Rui Ma

In this paper, we aim for both fast and high-quality implicit field learning, and propose TaylorGrid, a novel implicit field representation which can be efficiently computed via direct Taylor expansion optimization on 2D or 3D grids.

Novel View Synthesis

Flexible filtrations for multiparameter persistent homology detect digital images

1 code implementation9 Jan 2024 Jiaxing He, Bingzhe Hou, Tieru Wu, Yue Xin

Two important problems in the field of Topological Data Analysis are defining practical multifiltrations on objects and showing ability of TDA to detect the geometry.

Topological Data Analysis

TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning

no code implementations7 Dec 2023 Shuangmei Wang, Yang Cao, Tieru Wu

Few-shot class-incremental learning (FSCIL) struggles to incrementally recognize novel classes from few examples without catastrophic forgetting of old classes or overfitting to new classes.

Few-Shot Class-Incremental Learning Incremental Learning +1

P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification

1 code implementation2 Jan 2023 Shuangmei Wang, Rui Ma, Tieru Wu, Yang Cao

Inspired by the distribution calibration technique which utilizes the distribution or statistics of the base classes to calibrate the data for few-shot tasks, we propose a novel discrete data calibration operation which is more suitable for NN-based few-shot classification.

Classification Few-Shot Learning

SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution

no code implementations16 Nov 2022 Yongjie Chen, Tieru Wu

Previous methods mainly utilize temporally adjacent frames to assist the reconstruction of target frames.

Optical Flow Estimation Video Super-Resolution

FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs

1 code implementation17 Jun 2022 Hui Li, Zihao Li, Rui Ma, Tieru Wu

In this paper, we propose a novel CAM weighting scheme, named FD-CAM, to improve both the faithfulness and discriminability of the CAM-based CNN visual explanation.

Light Weight Color Image Warping with Inter-Channel Information

no code implementations19 Dec 2018 Chuangye Zhang, Yan Niu, Tieru Wu, Xi-Ming Li

Image warping is a necessary step in many multimedia applications such as texture mapping, image-based rendering, panorama stitching, image resizing and optical flow computation etc.

Optical Flow Estimation

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