Search Results for author: Yinjie Lei

Found 16 papers, 4 papers with code

Reviewing continual learning from the perspective of human-level intelligence

no code implementations23 Nov 2021 Yifan Chang, Wenbo Li, Jian Peng, Bo Tang, Yu Kang, Yinjie Lei, Yuanmiao Gui, Qing Zhu, Yu Liu, Haifeng Li

Different from previous reviews that mainly focus on the catastrophic forgetting phenomenon in CL, this paper surveys CL from a more macroscopic perspective based on the Stability Versus Plasticity mechanism.

Continual Learning

Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation

no code implementations5 Aug 2021 Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu

In this work, we propose two simple yet effective texture randomization mechanisms, Global Texture Randomization (GTR) and Local Texture Randomization (LTR), for Domain Generalization based SRSS.

Domain Generalization Semantic Segmentation

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

1 code implementation15 Jul 2021 Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng

The effectiveness and superior performance of our approach are validated through comprehensive experiments in a range of applications.

image smoothing

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

no code implementations19 Oct 2020 Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Based on the MPFL strategy, our framework achieves a novel approach to adapt to the scale and location diversities of the scene change regions.

Scene Change Detection

Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems

no code implementations EMNLP 2021 Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen

Incorporating knowledge bases (KB) into end-to-end task-oriented dialogue systems is challenging, since it requires to properly represent the entity of KB, which is associated with its KB context and dialogue context.

Task-Oriented Dialogue Systems

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks

no code implementations ECCV 2020 Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

Most existing crowd counting systems rely on the availability of the object location annotation which can be expensive to obtain.

Crowd Counting

Towards Using Count-level Weak Supervision for Crowd Counting

no code implementations29 Feb 2020 Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu

Most existing crowd counting methods require object location-level annotation, i. e., placing a dot at the center of an object.

Crowd Counting

Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation

1 code implementation19 Dec 2019 Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li

It is due to two facts: first, as the model learns more tasks, the intersection of the low-error parameter subspace satisfying for these tasks becomes smaller or even does not exist; second, when the model learns a new task, the cumulative error keeps increasing as the model tries to protect the parameter configuration of previous tasks from interference.

Image Classification

Improving Distant Supervised Relation Extraction by Dynamic Neural Network

no code implementations15 Nov 2019 Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng

To account for this style shift, the model should adjust its parameters in accordance with entity types.

Relation Extraction

Deep Multiphase Level Set for Scene Parsing

no code implementations8 Oct 2019 Pingping Zhang, Wei Liu, Yinjie Lei, Hongyu Wang, Huchuan Lu

The proposed method consists of three modules, i. e., recurrent FCNs, adaptive multiphase level set, and deeply supervised learning.

Scene Parsing Semantic Segmentation

Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion

no code implementations ICCV 2019 Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang

To address these issues, in this work we propose a novel deep learning framework, named Cascaded Context Pyramid Network (CCPNet), to jointly infer the occupancy and semantic labels of a volumetric 3D scene from a single depth image.

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

1 code implementation23 Jul 2019 Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian Reid

In this paper, a non-convex non-smooth optimization framework is proposed to achieve diverse smoothing natures where even contradictive smoothing behaviors can be achieved.

image smoothing

Mask-aware networks for crowd counting

no code implementations18 Dec 2018 Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu

Our rationale is that the mask prediction could be better modeled as a binary segmentation problem and the difficulty of estimating the density could be reduced if the mask is known.

Crowd Counting

Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps

no code implementations22 Feb 2018 Pingping Zhang, Wei Liu, Dong Wang, Yinjie Lei, Hongyu Wang, Chunhua Shen, Huchuan Lu

Extensive experiments demonstrate that the proposed algorithm achieves competitive performance in both saliency detection and visual tracking, especially outperforming other related trackers on the non-rigid object tracking datasets.

Fine-tuning Object Tracking +2

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