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08/24/2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Recent advances in semi-supervised semantic segmentation have been heavi...
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08/20/2023
Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation
Audio-visual navigation is an audio-targeted wayfinding task where a rob...
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08/14/2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
VLN-CE is a recently released embodied task, where AI agents need to nav...
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08/09/2023
Bird's-Eye-View Scene Graph for Vision-Language Navigation
Vision-language navigation (VLN), which entails an agent to navigate 3D ...
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07/27/2023
Clustering based Point Cloud Representation Learning for 3D Analysis
Point cloud analysis (such as 3D segmentation and detection) is a challe...
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07/25/2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
As the size of transformer-based models continues to grow, fine-tuning t...
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07/25/2023
Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation
We introduce a novel speaker model Kefa for navigation instruction gener...
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05/11/2023
Segment and Track Anything
This report presents a framework called Segment And Track Anything (SAMT...
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05/03/2023
CLUSTSEG: Clustering for Universal Segmentation
We present CLUSTSEG, a general, transformer-based framework that tackles...
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04/13/2023
Boosting Video Object Segmentation via Space-time Correspondence Learning
Current top-leading solutions for video object segmentation (VOS) typica...
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03/17/2023
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
The objective of this paper is self-supervised learning of video object ...
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03/15/2023
Lana: A Language-Capable Navigator for Instruction Following and Generation
Recently, visual-language navigation (VLN) – entailing robot agents to f...
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10/30/2022
Towards Versatile Embodied Navigation
With the emergence of varied visual navigation tasks (e.g, image-/object...
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10/28/2022
Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing
Neural-symbolic computing (NeSy), which pursues the integration of the s...
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10/05/2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Prevalent semantic segmentation solutions are, in essence, a dense discr...
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10/03/2022
Learning Equivariant Segmentation with Instance-Unique Querying
Prevalent state-of-the-art instance segmentation methods fall into a que...
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09/15/2022
Visual Recognition with Deep Nearest Centroids
We devise deep nearest centroids (DNC), a conceptually elegant yet surpr...
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07/26/2022
Semi-supervised 3D Object Detection with Proficient Teachers
Dominated point cloud-based 3D object detectors in autonomous driving sc...
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07/26/2022
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection
Existing approaches for unsupervised point cloud pre-training are constr...
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07/25/2022
Reference-based Image Super-Resolution with Deformable Attention Transformer
Reference-based image super-resolution (RefSR) aims to exploit auxiliary...
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07/19/2022
Target-Driven Structured Transformer Planner for Vision-Language Navigation
Vision-language navigation is the task of directing an embodied agent to...
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03/30/2022
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
Since the rise of vision-language navigation (VLN), great progress has b...
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03/28/2022
Rethinking Semantic Segmentation: A Prototype View
Prevalent semantic segmentation solutions, despite their different netwo...
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03/27/2022
Deep Hierarchical Semantic Segmentation
Humans are able to recognize structured relations in observation, allowi...
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03/27/2022
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
Our target is to learn visual correspondence from unlabeled videos. We d...
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03/26/2022
Visual Abductive Reasoning
Abductive reasoning seeks the likeliest possible explanation for partial...
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03/18/2022
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
We explore the task of language-guided video segmentation (LVS). Previou...
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09/10/2021
TADA: Taxonomy Adaptive Domain Adaptation
Traditional domain adaptation addresses the task of adapting a model to ...
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07/02/2021
A Survey on Deep Learning Technique for Video Segmentation
Video segmentation, i.e., partitioning video frames into multiple segmen...
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07/02/2021
Collaborative Visual Navigation
As a fundamental problem for Artificial Intelligence, multi-agent system...
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06/02/2021
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims to segment video objects...
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05/14/2021
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
Language-queried video actor segmentation aims to predict the pixel-leve...
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03/30/2021
Face Forensics in the Wild
On existing public benchmarks, face forgery detection techniques have ac...
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03/08/2021
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
To address the challenging task of instance-aware human part parsing, a ...
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03/05/2021
Structured Scene Memory for Vision-Language Navigation
Recently, numerous algorithms have been developed to tackle the problem ...
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01/28/2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Current semantic segmentation methods focus only on mining "local" conte...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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07/23/2020
Weakly Supervised 3D Object Detection from Lidar Point Cloud
It is laborious to manually label point cloud data for training high-qua...
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07/15/2020
Active Visual Information Gathering for Vision-Language Navigation
Vision-language navigation (VLN) is the task of entailing an agent to ca...
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07/14/2020
Video Object Segmentation with Episodic Graph Memory Networks
How to make a segmentation model to efficiently adapt to a specific vide...
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07/03/2020
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
This paper studies the problem of learning semantic segmentation from im...
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03/25/2020
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
Current popular online multi-object tracking (MOT) solutions apply singl...
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03/10/2020
Learning Video Object Segmentation from Unlabeled Videos
We propose a new method for video object segmentation (VOS) that address...
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03/10/2020
Hierarchical Human Parsing with Typed Part-Relation Reasoning
Human parsing is for pixel-wise human semantic understanding. As human b...
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03/09/2020
Cascaded Human-Object Interaction Recognition
Rapid progress has been witnessed for human-object interaction (HOI) rec...
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01/19/2020
Human-Aware Motion Deblurring
This paper proposes a human-aware deblurring model that disentangles the...
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01/19/2020
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
We introduce a novel network, called CO-attention Siamese Network (COSNe...
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01/19/2020
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
This work proposes a novel attentive graph neural network (AGNN) for zer...
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01/19/2020
Learning Compositional Neural Information Fusion for Human Parsing
This work proposes to combine neural networks with the compositional hie...
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09/04/2019
