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07/24/2023
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Prompt engineering is a technique that involves augmenting a large pre-t...
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06/06/2023
Logic Diffusion for Knowledge Graph Reasoning
Most recent works focus on answering first order logical queries to expl...
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06/03/2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models
Various adaptation methods, such as LoRA, prompts, and adapters, have be...
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03/18/2023
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering
Recently, end-to-end trained models for multiple-choice commonsense ques...
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03/13/2023
AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation
The study of ancient writings has great value for archaeology and philol...
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01/12/2023
Modeling the evolution of temporal knowledge graphs with uncertainty
Forecasting future events is a fundamental challenge for temporal knowle...
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12/11/2022
Mutimodal Ranking Optimization for Heterogeneous Face Re-identification
Heterogeneous face re-identification, namely matching heterogeneous face...
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11/15/2022
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information
Knowledge graph completion (KGC) aims to predict the missing links among...
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08/12/2022
Forecasting Question Answering over Temporal Knowledge Graphs
Question answering over temporal knowledge graphs (TKGQA) has recently f...
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07/08/2022
Deepfake Face Traceability with Disentangling Reversing Network
Deepfake face not only violates the privacy of personal identity, but al...
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05/31/2022
Continuous Temporal Graph Networks for Event-Based Graph Data
There has been an increasing interest in modeling continuous-time dynami...
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05/21/2022
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction
Few-shot relational learning for static knowledge graphs (KGs) has drawn...
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03/17/2022
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations
With the emerging research effort to integrate structured and unstructur...
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01/06/2022
Consistent Style Transfer
Recently, attentional arbitrary style transfer methods have been propose...
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09/09/2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Temporal knowledge graph (TKG) reasoning is a crucial task that has gain...
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08/04/2021
Video Similarity and Alignment Learning on Partial Video Copy Detection
Existing video copy detection methods generally measure video similarity...
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03/04/2021
When Face Recognition Meets Occlusion: A New Benchmark
The existing face recognition datasets usually lack occlusion samples, w...
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01/13/2021
Temporal Knowledge Graph Forecasting with Neural ODE
Learning node representation on dynamically-evolving, multi-relational g...
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12/31/2020
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
Interest has been rising lately towards modeling time-evolving knowledge...
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11/08/2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
There has recently been increasing interest in learning representations ...
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03/30/2020
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling self-exciti...
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03/30/2020
The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
The Hawkes process has become a standard method for modeling self-exciti...
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10/07/2019
Unsupervised Image Super-Resolution with an Indirect Supervised Path
The task of single image super-resolution (SISR) aims at reconstructing ...
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08/01/2018
Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate
In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block...
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07/18/2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
As adversarial attacks pose a serious threat to the security of AI syste...
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04/20/2018
MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
In this paper, we present a class of extremely efficient CNN models call...
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10/16/2016
