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08/03/2023
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
We present the All-Seeing (AS) project: a large-scale data and model for...
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06/08/2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Image recognition and generation have long been developed independently ...
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05/25/2023
Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory
The captivating realm of Minecraft has attracted substantial research in...
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05/18/2023
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Large language models (LLMs) have notably accelerated progress towards a...
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05/09/2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
We present an interactive visual framework named InternGPT, or iGPT for ...
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12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
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11/18/2022
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
We present a novel bird's-eye-view (BEV) detector with perspective super...
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11/17/2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
Despite the remarkable success of foundation models, their task-specific...
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11/17/2022
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
To effectively exploit the potential of large-scale models, various pre-...
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11/10/2022
Demystify Transformers Convolutions in Modern Image Deep Networks
Recent success of vision transformers has inspired a series of vision ba...
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11/10/2022
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Compared to the great progress of large-scale vision transformers (ViTs)...
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06/09/2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
To build an artificial neural network like the biological intelligence s...
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06/02/2022
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Self-supervised learning (SSL) has delivered superior performance on a v...
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03/16/2022
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation
This paper proposes a simple baseline framework for video-based 2D/3D hu...
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12/09/2021
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Self-supervised learning has shown its great potential to extract powerf...
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12/09/2021
Searching Parameterized AP Loss for Object Detection
Loss functions play an important role in training deep-network-based obj...
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12/02/2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
Biological intelligence systems of animals perceive the world by integra...
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11/26/2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Deep learning-based models encounter challenges when processing long-tai...
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07/02/2021
Collaborative Visual Navigation
As a fundamental problem for Artificial Intelligence, multi-agent system...
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03/25/2021
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
Significant progress has been achieved in automating the design of vario...
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11/25/2020
Unsupervised Object Detection with LiDAR Clues
Despite the importance of unsupervised object detection, to the best of ...
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10/15/2020
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
We propose a general framework for searching surrogate losses for mainst...
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10/08/2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
DETR has been recently proposed to eliminate the need for many hand-desi...
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03/19/2020
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
In the feature maps of CNNs, there commonly exists considerable spatial ...
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10/07/2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Convolutional networks are not aware of an object's geometric variations...
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08/22/2019
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
We introduce a new pre-trainable generic representation for visual-lingu...
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04/11/2019
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Attention mechanisms have become a popular component in deep neural netw...
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11/27/2018
Deformable ConvNets v2: More Deformable, Better Results
The superior performance of Deformable Convolutional Networks arises fro...
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11/27/2018
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
Accurate detection and tracking of objects is vital for effective video ...
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04/16/2018
Towards High Performance Video Object Detection for Mobiles
Despite the recent success of video object detection on Desktop GPUs, it...
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11/30/2017
Towards High Performance Video Object Detection
There has been significant progresses for image object detection in rece...
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03/29/2017
Flow-Guided Feature Aggregation for Video Object Detection
Extending state-of-the-art object detectors from image to video is chall...
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11/23/2016
Deep Feature Flow for Video Recognition
Deep convolutional neutral networks have achieved great success on image...
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12/13/2015