Lingxi Xie

Orcid: 0000-0003-4831-9451

According to our database1, Lingxi Xie authored at least 198 papers between 2012 and 2024.

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Bibliography

2024
CenterNet++ for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

One-Bit Supervision for Image Classification: Problem, Solution, and Beyond.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Multi-Granularity Matching Transformer for Text-Based Person Search.
IEEE Trans. Multim., 2024

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting.
CoRR, 2024

ChatterBox: Multi-round Multimodal Referring and Grounding.
CoRR, 2024

VMamba: Visual State Space Model.
CoRR, 2024

Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models.
CoRR, 2024

2023
CIPS-3D++: End-to-End Real-Time High-Resolution 3D-Aware GANs for GAN Inversion and Stylization.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

GAIA-Universe: Everything is Super-Netify.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Regularized Differentiable Architecture Search.
IEEE Embed. Syst. Lett., September, 2023

Progressive Instance-Aware Feature Learning for Compositional Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Conformer: Local Features Coupling Global Representations for Recognition and Detection.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Exploring the diversity and invariance in yourself for visual pre-training task.
Pattern Recognit., July, 2023

BNET: Batch Normalization With Enhanced Linear Transformation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

M²NAS: Joint Neural Architecture Optimization System With Network Transmission.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Accurate medium-range global weather forecasting with 3D neural networks.
Nat., 2023

VoxSeP: semi-positive voxels assist self-supervised 3D medical segmentation.
Multim. Syst., 2023

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views.
CoRR, 2023

Segment Any 3D Gaussians.
CoRR, 2023

Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model.
CoRR, 2023

GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions.
CoRR, 2023

GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors.
CoRR, 2023

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering.
CoRR, 2023

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.
CoRR, 2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models.
CoRR, 2023

Visual Tuning.
CoRR, 2023

Segment Anything in 3D with NeRFs.
CoRR, 2023

Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism.
CoRR, 2023

Segment Anything in 3D with NeRFs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Integrally Pre-Trained Transformer Pyramid Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Recognition by Request.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations.
IEEE Trans. Multim., 2022

Camera-Based Batch Normalization: An Effective Distribution Alignment Method for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Adaptive Spatial Location With Balanced Loss for Video Captioning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Searching Towards Class-Aware Generators for Conditional Generative Adversarial Networks.
IEEE Signal Process. Lett., 2022

Actionness-Guided Transformer for Anchor-Free Temporal Action Localization.
IEEE Signal Process. Lett., 2022

Progressive privileged knowledge distillation for online action detection.
Pattern Recognit., 2022

Scalable NAS with factorizable architectural parameters.
Neurocomputing, 2022

Network Adjustment: Channel and Block Search Guided by Resource Utilization Ratio.
Int. J. Comput. Vis., 2022

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap.
ACM Comput. Surv., 2022

Integrally Pre-Trained Transformer Pyramid Networks.
CoRR, 2022

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.
CoRR, 2022

A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction.
CoRR, 2022

HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling.
CoRR, 2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers.
CoRR, 2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Fine-Grained Semantically Aligned Vision-Language Pre-Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finding the Host from the Lesion by Iteratively Mining the Registration Graph.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Bag of Instances Aggregation Boosts Self-supervised Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MVP: Multimodality-Guided Visual Pre-training.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cornerformer: Purifying Instances for Corner-Based Detectors.
Proceedings of the Computer Vision - ECCV 2022, 2022

Active Pointly-Supervised Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

TAPE: Task-Agnostic Prior Embedding for Image Restoration.
Proceedings of the Computer Vision - ECCV 2022, 2022

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Vibration-Based Uncertainty Estimation for Learning from Limited Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

One-bit Active Query with Contrastive Pairs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Domain-Agnostic Prior for Transfer Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DATA: Domain-Aware and Task-Aware Self-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Universal-to-Specific Framework for Complex Action Recognition.
IEEE Trans. Multim., 2021

Interaction-Integrated Network for Natural Language Moment Localization.
IEEE Trans. Image Process., 2021

3D-GAT: 3D-Guided adversarial transform network for person re-identification in unseen domains.
Pattern Recognit., 2021

Discretization-aware architecture search.
Pattern Recognit., 2021

Partially-Connected Neural Architecture Search for Reduced Computational Redundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Cyclic CNN: Image Classification With Multiscale and Multilocation Contexts.
IEEE Internet Things J., 2021

Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild.
Int. J. Comput. Vis., 2021

Exploring Complicated Search Spaces with Interleaving-Free Sampling.
CoRR, 2021

NeuSample: Neural Sample Field for Efficient View Synthesis.
CoRR, 2021

Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.
CoRR, 2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning.
CoRR, 2021

CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis.
CoRR, 2021

Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition.
CoRR, 2021

Bag of Instances Aggregation Boosts Self-supervised Learning.
CoRR, 2021

What Is Considered Complete for Visual Recognition?
CoRR, 2021

Location-Sensitive Visual Recognition with Cross-IOU Loss.
CoRR, 2021

Spatiotemporal Transformer for Video-based Person Re-identification.
CoRR, 2021

Appending Adversarial Frames for Universal Video Attack.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Rectifying the Shortcut Learning of Background for Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Multiple Black-boxes Attack via Adversarial Example Generation Network.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Omni-GAN: On the Secrets of cGANs and Beyond.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Conformer: Local Features Coupling Global Representations for Visual Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Visformer: The Vision-friendly Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
IEEE Trans. Medical Imaging, 2020

Interactive Fusion of Multi-level Features for Compositional Activity Recognition.
CoRR, 2020

Hierarchical Semantic Aggregation for Contrastive Representation Learning.
CoRR, 2020

Batch Normalization with Enhanced Linear Transformation.
CoRR, 2020

Omni-GAN: On the Secrets of cGANs and Beyond.
CoRR, 2020

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations.
CoRR, 2020

Privileged Knowledge Distillation for Online Action Detection.
CoRR, 2020

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
CoRR, 2020

GOLD-NAS: Gradual, One-Level, Differentiable.
CoRR, 2020

Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks.
CoRR, 2020

ATSO: Asynchronous Teacher-Student Optimizationfor Semi-Supervised Medical Image Segmentation.
CoRR, 2020

Constraining Temporal Relationship for Action Localization.
CoRR, 2020

Disassembling the Dataset: A Camera Alignment Mechanism for Multiple Tasks in Person Re-identification.
CoRR, 2020

Latency-Aware Differentiable Neural Architecture Search.
CoRR, 2020

One-bit Supervision for Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Polar Relative Positional Encoding for Video-Language Segmentation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Cross-VAE: Towards Disentangling Expression from Identity For Human Faces.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

Bottom-Up Temporal Action Localization with Mutual Regularization.
Proceedings of the Computer Vision - ECCV 2020, 2020

Social Adaptive Module for Weakly-Supervised Group Activity Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Circumventing Outliers of AutoAugment with Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Reinforced Axial Refinement Network for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Corner Proposal Network for Anchor-Free, Two-Stage Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Person Re-Identification via Softened Similarity Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Single Camera Training for Person Re-Identification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pruning from Scratch.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Scalable NAS with Factorizable Architectural Parameters.
CoRR, 2019

Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters.
CoRR, 2019

Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data.
CoRR, 2019

PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search.
CoRR, 2019

Defending Adversarial Attacks by Correcting logits.
CoRR, 2019

Thickened 2D Networks for 3D Medical Image Segmentation.
CoRR, 2019

Det2Seg: A Two-Stage Approach for Road Object Segmentation from 3D Point Clouds.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Fast Non-Local Neural Networks with Spectral Residual Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Joint Shape Representation and Classification for Detecting PDAC.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

CenterNet: Keypoint Triplets for Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adversarial Attacks Beyond the Image Space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Snapshot Distillation: Teacher-Student Optimization in One Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Elastic Boundary Projection for 3D Medical Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attention-Guided Unified Network for Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Elastic Boundary Projection for 3D Medical Imaging Segmentation.
CoRR, 2018

Progressive Recurrent Learning for Visual Recognition.
CoRR, 2018

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation.
CoRR, 2018

Accelerating Deep Neural Networks with Spatial Bottleneck Modules.
CoRR, 2018

Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images.
CoRR, 2018

Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students.
CoRR, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation.
CoRR, 2018

Attention-based Pyramid Aggregation Network for Visual Place Recognition.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-scale Spatially-Asymmetric Recalibration for Image Classification.
Proceedings of the Computer Vision - ECCV 2018, 2018

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data.
Proceedings of the British Machine Vision Conference 2018, 2018

Identity-Enhanced Network for Facial Expression Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Towards Reversal-Invariant Image Representation.
Int. J. Comput. Vis., 2017

Visual Concepts and Compositional Voting.
CoRR, 2017

DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion.
CoRR, 2017

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation.
CoRR, 2017

Deep Collaborative Learning for Visual Recognition.
CoRR, 2017

SORT: Second-Order Response Transform for Visual Recognition.
CoRR, 2017

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Object Recognition with and without Objects.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Genetic CNN.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Adversarial Examples for Semantic Segmentation and Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SORT: Second-Order Response Transform for Visual Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Detecting Semantic Parts on Partially Occluded Objects.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2016

Incorporating visual adjectives for image classification.
Neurocomputing, 2016

Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach.
CoRR, 2016

Fast Nearest Neighbor Search in the Hamming Space.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons.
Proceedings of the Computer Vision - ECCV 2016, 2016

InterActive: Inter-Layer Activeness Propagation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

DisturbLabel: Regularizing CNN on the Loss Layer.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Fine-Grained Image Search.
IEEE Trans. Multim., 2015

Heterogeneous Graph Propagation for Large-Scale Web Image Search.
IEEE Trans. Image Process., 2015

Fidelity-Naturalness Evaluation of Single Image Super Resolution.
CoRR, 2015

Image Classification and Retrieval are ONE.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Fine-grained visual categorization with fine-tuned segmentation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

RIDE: Reversal Invariant Descriptor Enhancement.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Spatial Pooling of Heterogeneous Features for Image Classification.
IEEE Trans. Image Process., 2014

Fast and accurate near-duplicate image search with affinity propagation on the ImageWeb.
Comput. Vis. Image Underst., 2014

Max-SIFT: Flipping invariant descriptors for Web logo search.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Orientational Pyramid Matching for Recognizing Indoor Scenes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Feature normalization for part-based image classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

Hierarchical Part Matching for Fine-Grained Visual Categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Spatial pooling of heterogeneous features for image applications.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012


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