Search Results for author: Jianbo Liu

Found 16 papers, 6 papers with code

Mutual Exclusive Modulator for Long-Tailed Recognition

no code implementations19 Feb 2023 Haixu Long, Xiaolin Zhang, Yanbin Liu, Zongtai Luo, Jianbo Liu

In this paper, we try to look into the root cause of the LTR task, i. e., training samples for each class are greatly imbalanced, and propose a straightforward solution.

Inductive Bias

Deep Dynamic Scene Deblurring from Optical Flow

no code implementations18 Jan 2023 Jiawei Zhang, Jinshan Pan, Daoye Wang, Shangchen Zhou, Xing Wei, Furong Zhao, Jianbo Liu, Jimmy Ren

In this paper, we explore optical flow to remove dynamic scene blur by using the multi-scale spatially variant recurrent neural network (RNN).

Deblurring Optical Flow Estimation

SparseMAE: Sparse Training Meets Masked Autoencoders

no code implementations ICCV 2023 Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li

In this paper, we aim to reduce model complexity from large vision transformers pretrained by MAE with assistant of sparse training.

Fraud Dataset Benchmark and Applications

2 code implementations30 Aug 2022 Prince Grover, Julia Xu, Justin Tittelfitz, Anqi Cheng, Zheng Li, Jakub Zablocki, Jianbo Liu, Hao Zhou

Standardized datasets and benchmarks have spurred innovations in computer vision, natural language processing, multi-modal and tabular settings.

AutoML Feature Engineering +1

Pyramid Fusion Transformer for Semantic Segmentation

no code implementations11 Jan 2022 Zipeng Qin, Jianbo Liu, Xiaolin Zhang, Maoqing Tian, Aojun Zhou, Shuai Yi, Hongsheng Li

The recently proposed MaskFormer gives a refreshed perspective on the task of semantic segmentation: it shifts from the popular pixel-level classification paradigm to a mask-level classification method.

Segmentation Semantic Segmentation

Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

1 code implementation ICCV 2021 Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, Hongsheng Li

To this end, we propose Multi-level Attention Encoder-Decoder Network (MAED), including a Spatial-Temporal Encoder (STE) and a Kinematic Topology Decoder (KTD) to model multi-level attentions in a unified framework.

3D Absolute Human Pose Estimation

HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition

no code implementations25 Jun 2021 Jianbo Liu, Ying Wang, Shiming Xiang, Chunhong Pan

Previous methods for skeleton-based gesture recognition mostly arrange the skeleton sequence into a pseudo picture or spatial-temporal graph and apply deep Convolutional Neural Network (CNN) or Graph Convolutional Network (GCN) for feature extraction.

Gesture Recognition

Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

4 code implementations ICLR 2021 Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li

In this paper, we are the first to study training from scratch an N:M fine-grained structured sparse network, which can maintain the advantages of both unstructured fine-grained sparsity and structured coarse-grained sparsity simultaneously on specifically designed GPUs.

A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection

no code implementations18 Dec 2020 Jianbo Liu, Sijie Ren, Yuanjie Zheng, Xiaogang Wang, Hongsheng Li

With the proposed holistically-guided decoder, we implement the EfficientFCN architecture for semantic segmentation and HGD-FPN for object detection and instance segmentation.

Instance Segmentation object-detection +4

EfficientFCN: Holistically-guided Decoding for Semantic Segmentation

no code implementations ECCV 2020 Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li

State-of-the-art semantic segmentation algorithms are mostly based on dilated Fully Convolutional Networks (dilatedFCN), which adopt dilated convolutions in the backbone networks to extract high-resolution feature maps for achieving high-performance segmentation performance.

Segmentation Semantic Segmentation

Learning Selfie-Friendly Abstraction from Artistic Style Images

1 code implementation5 May 2018 Yicun Liu, Jimmy Ren, Jianbo Liu, Jiawei Zhang, Xiaohao Chen

Artistic style transfer can be thought as a process to generate different versions of abstraction of the original image.

Style Transfer

LSTM Pose Machines

1 code implementation CVPR 2018 Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin

Such suboptimal results are mainly attributed to the inability of imposing sequential geometric consistency, handling severe image quality degradation (e. g. motion blur and occlusion) as well as the inability of capturing the temporal correlation among video frames.

2D Human Pose Estimation Pose Estimation

Robust Tracking Using Region Proposal Networks

no code implementations30 May 2017 Jimmy Ren, ZHIYANG YU, Jianbo Liu, Rui Zhang, Wenxiu Sun, Jiahao Pang, Xiaohao Chen, Qiong Yan

Recent advances in visual tracking showed that deep Convolutional Neural Networks (CNN) trained for image classification can be strong feature extractors for discriminative trackers.

Classification Feature Engineering +4

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