Jifeng Dai

Orcid: 0000-0002-6785-0785

According to our database¹, Jifeng Dai authored at least 103 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments.

[BibT_eX]

[DOI]

CoRR, 2024

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

[BibT_eX]

[DOI]

CoRR, 2024

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World.

[BibT_eX]

[DOI]

CoRR, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.

[BibT_eX]

[DOI]

CoRR, 2024

2023

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey of Reasoning with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft.

[BibT_eX]

[DOI]

CoRR, 2023

InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision.

[BibT_eX]

[DOI]

CoRR, 2023

ControlLLM: Augment Language Models with Tools by Searching on Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World.

[BibT_eX]

[DOI]

CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow.

[BibT_eX]

[DOI]

CoRR, 2023

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.

[BibT_eX]

[DOI]

CoRR, 2023

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

[BibT_eX]

[DOI]

CoRR, 2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language.

[BibT_eX]

[DOI]

CoRR, 2023

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Vision Transformer Adapter for Dense Predictions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Planning-oriented Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Goal-oriented Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2022

Demystify Transformers & Convolutions in Modern Image Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

[BibT_eX]

[DOI]

CoRR, 2022

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

ConvMAE: Masked Convolution Meets Masked Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MCMAE: Masked Convolution Meets Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Frozen CLIP Models are Efficient Video Learners.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

FlowFormer: A Transformer Architecture for Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Collaborative Visual Navigation.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Transformers for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2021

Decoupled Spatial-Temporal Transformer for Video Inpainting.

[BibT_eX]

[DOI]

CoRR, 2021

Searching Parameterized AP Loss for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Exploring Cross-Image Pixel Contrast for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Influence Selection for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast Convergence of DETR with Spatially Modulated Co-Attention.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Object Detection With LIDAR Clues.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask.

[BibT_eX]

[DOI]

CoRR, 2020

VL-BERT: Pre-training of Generic Visual-Linguistic Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Resolution Adaptive Networks for Efficient Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hierarchical Human Parsing With Typed Part-Relation Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.

[BibT_eX]

[DOI]

CoRR, 2019

An Empirical Study of Spatial Attention Mechanisms in Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deformable ConvNets V2: More Deformable, Better Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Towards High Performance Video Object Detection for Mobiles.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Region Features for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Towards High Performance Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Relation Networks for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Flow-Guided Feature Aggregation for Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deformable Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Feature Flow for Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fully Convolutional Instance-Aware Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

R-FCN: Object Detection via Region-based Fully Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Instance-Sensitive Fully Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Instance-Aware Semantic Segmentation via Multi-task Network Cascades.

[BibT_eX]

[DOI]

Jifeng Dai

Kaiming He

Jian Sun

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Generative Modeling of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Jifeng Dai

Ying Nian Wu

Proceedings of the 3rd International Conference on Learning Representations, 2015

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation.

[BibT_eX]

[DOI]

Jifeng Dai

Kaiming He

Jian Sun

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Convolutional feature masking for joint object and stuff segmentation.

[BibT_eX]

[DOI]

Jifeng Dai

Kaiming He

Jian Sun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Cosegmentation and Cosketch by Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Robust and Efficient Ridge-Based Palmprint Matching.

[BibT_eX]

[DOI]

Jifeng Dai

Jianjiang Feng

Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Mining sub-categories for object detection.

[BibT_eX]

[DOI]

Jifeng Dai

Jianjiang Feng

Jie Zhou

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Multifeature-Based High-Resolution Palmprint Recognition.

[BibT_eX]

[DOI]

Jifeng Dai

Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Jifeng Dai

Timeline

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