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08/14/2023
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
Modern supervised semantic segmentation methods are usually finetuned ba...
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08/04/2023
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Compared to the multi-stage self-supervised multi-view stereo (MVS) meth...
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08/03/2023
RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension
In this work, we investigate extending the comprehension of Multi-modal ...
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08/03/2023
Dynamic Token-Pass Transformers for Semantic Segmentation
Vision transformers (ViT) usually extract features via forwarding all th...
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07/27/2023
Improved Neural Radiance Fields Using Pseudo-depth and Fusion
Since the advent of Neural Radiance Fields, novel view synthesis has rec...
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03/29/2023
DPF: Learning Dense Prediction Fields with Weak Supervision
Nowadays, many visual scene understanding problems are addressed by dens...
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03/01/2023
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers
Despite the promising results, existing oriented object detection method...
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02/28/2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Modern incremental learning for semantic segmentation methods usually le...
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02/27/2023
LMSeg: Language-guided Multi-dataset Segmentation
It's a meaningful and attractive topic to build a general and inclusive ...
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09/07/2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
Recent masked image modeling (MIM) has received much attention in self-s...
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06/01/2022
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations
Point annotations are considerably more time-efficient than bounding box...
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05/28/2022
Point RCNN: An Angle-Free Framework for Rotated Object Detection
Rotated object detection in aerial images is still challenging due to ar...
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04/13/2022
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
We introduce NSEdit (neural-symbolic edit), a novel Transformer-based co...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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04/08/2021
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
In this work, we tackle the problem of category-level online pose tracki...
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03/22/2021
Human De-occlusion: Invisible Perception and Recovery for Humans
In this paper, we tackle the problem of human de-occlusion which reasons...
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03/21/2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Supervised learning based object detection frameworks demand plenty of l...
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01/28/2021
Object Detection Made Simpler by Eliminating Heuristic NMS
We show a simple NMS-free, end-to-end object detection framework, of whi...
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01/18/2021
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction
Potential crowd flow prediction for new planned transportation sites is ...
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11/05/2020
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition
With the propagation of sensor devices applied in smart home, activity r...
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04/13/2020
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems
Unlike the traditional dock-based systems, dockless bike-sharing systems...
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03/31/2020
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
We present a lightweight video motion retargeting approach TransMoMo tha...
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10/26/2019
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
Recently, facial landmark detection algorithms have achieved remarkable ...
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07/02/2019
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Video object segmentation (VOS) aims at pixel-level object tracking give...
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06/06/2019
STN-Homography: estimate homography parameters directly
In this paper, we introduce the STN-Homography model to directly estimat...
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05/26/2018
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
We present a novel boundary-aware face alignment algorithm by utilising ...
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02/08/2018
Exploiting Spin-Orbit Torque Devices as Reconfigurable Logic for Circuit Obfuscation
Circuit obfuscation is a frequently used approach to conceal logic funct...
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05/10/2015
Probabilistic Belief Embedding for Knowledge Base Completion
This paper contributes a novel embedding model which measures the probab...
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04/07/2015
Large Margin Nearest Neighbor Embedding for Knowledge Representation
Traditional way of storing facts in triplets ( head_entity, relation, ta...
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03/27/2015
Learning Embedding Representations for Knowledge Inference on Imperfect and Incomplete Repositories
This paper considers the problem of knowledge inference on large-scale i...
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11/17/2014