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09/11/2023
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving
Autonomous driving systems generally employ separate models for differen...
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08/31/2023
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
Generating 3D faces from textual descriptions has a multitude of applica...
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08/31/2023
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Stable diffusion, a generative model used in text-to-image synthesis, fr...
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08/22/2023
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
Cross-modal pre-training has shown impressive performance on a wide rang...
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08/22/2023
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
Cross-modal garment synthesis and manipulation will significantly benefi...
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08/18/2023
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability
Recently, large-scale diffusion models, e.g., Stable diffusion and DallE...
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08/09/2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Recently, semantic segmentation models trained with image-level text sup...
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08/08/2023
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
Recently, polar-based representation has shown promising properties in p...
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07/31/2023
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration
Multi-modality fusion and multi-task learning are becoming trendy in 3D ...
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07/04/2023
SUIT: Learning Significance-guided Information for 3D Temporal Detection
3D object detection from LiDAR point cloud is of critical importance for...
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06/17/2023
MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation
Given a natural language, a general robot has to comprehend the instruct...
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05/31/2023
Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards
Recent advances in text-to-image diffusion models have achieved remarkab...
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05/23/2023
DetGPT: Detect What You Need via Reasoning
In recent years, the field of computer vision has seen significant advan...
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05/17/2023
Rethinking Boundary Discontinuity Problem for Oriented Object Detection
Oriented object detection has been developed rapidly in the past few yea...
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05/09/2023
Boosting Visual-Language Models by Exploiting Hard Samples
Large vision and language models, such as Contrastive Language-Image Pre...
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04/26/2023
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
Medical artificial general intelligence (MAGI) enables one foundation mo...
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04/24/2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
This paper investigates policy resilience to training-environment poison...
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04/10/2023
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
This paper presents DetCLIPv2, an efficient and scalable training framew...
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03/30/2023
Mixed Autoencoder for Self-supervised Visual Representation Learning
Masked Autoencoder (MAE) has demonstrated superior performance on variou...
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03/22/2023
CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
Contrastive Language-Image Pre-training, benefiting from large-scale unl...
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03/12/2023
Towards Universal Vision-language Omni-supervised Segmentation
Existing open-world universal segmentation approaches usually leverage C...
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03/04/2023
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining
Benefiting from large-scale vision-language pre-training on image-text p...
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03/03/2023
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
Multi-task learning has emerged as a powerful paradigm to solve a range ...
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02/22/2023
Entity-Level Text-Guided Image Manipulation
Existing text-guided image manipulation methods aim to modify the appear...
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12/14/2022
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
Although DETR-based 3D detectors can simplify the detection pipeline and...
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12/14/2022
NLIP: Noise-robust Language-Image Pre-training
Large-scale cross-modal pre-training paradigms have recently shown ubiqu...
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12/02/2022
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Text-guided 3D object generation aims to generate 3D objects described b...
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10/31/2022
Generative Negative Text Replay for Continual Vision-Language Pretraining
Vision-language pre-training (VLP) has attracted increasing attention re...
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09/20/2022
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Open-world object detection, as a more general and challenging goal, aim...
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09/19/2022
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving
Aiming towards a holistic understanding of multiple downstream tasks sim...
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09/15/2022
Exploring Visual Interpretability for Contrastive Language-Image Pre-training
Contrastive Language-Image pre-training (CLIP) learns rich representatio...
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09/14/2022
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
Self-supervised depth learning from monocular images normally relies on ...
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07/19/2022
RCLane: Relay Chain Prediction for Lane Detection
Lane detection is an important component of many real-world autonomous s...
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07/18/2022
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding
To bridge the gap between supervised semantic segmentation and real-worl...
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07/05/2022
Softmax-free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for various ...
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06/08/2022
Learning Ego 3D Representation as Ray Tracing
A self-driving perception model aims to extract 3D semantic representati...
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06/08/2022
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
Unsupervised contrastive learning for indoor-scene point clouds has achi...
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05/26/2022
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
Self-supervised learning (SSL), especially contrastive methods, has rais...
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05/25/2022
ZeroGen^+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning
Nowadays, owing to the superior capacity of the large pre-trained langua...
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05/12/2022
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection
Accurate and reliable 3D detection is vital for many applications includ...
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05/06/2022
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
Continual learning is a challenging real-world problem for constructing ...
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04/30/2022
ONCE-3DLanes: Building Monocular 3D Lane Detection
We present ONCE-3DLanes, a real-world autonomous driving dataset with la...
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04/12/2022
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Neural Architecture Search (NAS) aims to find efficient models for multi...
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04/09/2022
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
Existing text-guided image manipulation methods aim to modify the appear...
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03/25/2022
Point2Seq: Detecting 3D Objects as Sequences
We present a simple and effective framework, named Point2Seq, for 3D obj...
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03/18/2022
Laneformer: Object-aware Row-Column Transformers for Lane Detection
We present Laneformer, a conceptually simple yet powerful transformer-ba...
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03/15/2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Contemporary deep-learning object detection methods for autonomous drivi...
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03/08/2022
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration
Vision-language navigation (VLN) is a challenging task due to its large ...
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02/17/2022
Revisiting Over-smoothing in BERT from the Perspective of Graph
Recently over-smoothing phenomenon of Transformer-based models is observ...
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02/16/2022