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09/04/2023
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
We present DiverseMotion, a new approach for synthesizing high-quality h...
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07/24/2023
Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models
Recent advancements in natural language and Large Language Models (LLMs)...
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07/03/2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition
In real-world scenarios, collected and annotated data often exhibit the ...
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05/29/2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Misalignment between the outputs of a vision-language (VL) model and tas...
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05/28/2023
Whitening-based Contrastive Learning of Sentence Embeddings
This paper presents a whitening-based contrastive learning method for se...
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05/23/2023
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
Pre-trained vision-language models are the de-facto foundation models fo...
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05/22/2023
Gloss-Free End-to-End Sign Language Translation
In this paper, we tackle the problem of sign language translation (SLT) ...
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04/13/2023
Efficient Multimodal Fusion via Interactive Prompting
Large-scale pre-training has brought unimodal fields such as computer vi...
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03/06/2023
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate stro...
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01/22/2023
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding
Temporal grounding is the task of locating a specific segment from an un...
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01/18/2023
Temporal Perceiving Video-Language Pre-training
Video-Language Pre-training models have recently significantly improved ...
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01/01/2023
Discriminative Radial Domain Adaptation
Domain adaptation methods reduce domain shift typically by learning doma...
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12/19/2022
MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering
To build Video Question Answering (VideoQA) systems capable of assisting...
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09/30/2022
Slimmable Networks for Contrastive Self-supervised Learning
Self-supervised learning makes great progress in large model pre-trainin...
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08/06/2022
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement
Existing 3D skeleton-based action recognition approaches reach impressiv...
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08/04/2022
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Large-scale vision-language pre-training has shown impressive advances i...
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08/03/2022
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
Understanding human emotions is a crucial ability for intelligent robots...
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07/07/2022
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
3D pose estimation has recently gained substantial interests in computer...
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05/02/2022
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval
Recently, large-scale pre-training methods like CLIP have made great pro...
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03/29/2022
Unified Transformer Tracker for Object Tracking
As an important area in computer vision, object tracking has formed two ...
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03/24/2022
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Temporal grounding in videos aims to localize one target video segment t...
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08/15/2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
To improve the generalization of detectors, for domain adaptive object d...
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07/26/2021
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference
Video-and-Language Inference is a recently proposed task for joint video...
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06/03/2021
Less is More: Sparse Sampling for Dense Reaction Predictions
Obtaining viewer responses from videos can be useful for creators and st...
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04/30/2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
It has been shown that deep neural networks are prone to overfitting on ...
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04/20/2021
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
Text-video retrieval is a challenging task that aims to search relevant ...
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03/01/2021
Universal-Prototype Augmentation for Few-Shot Object Detection
Few-shot object detection (FSOD) aims to strengthen the performance of n...
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01/13/2021
Learning to Anticipate Egocentric Actions by Imagination
Anticipating actions before they are executed is crucial for a wide rang...
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12/30/2020
SemGloVe: Semantic Co-occurrences for GloVe from BERT
GloVe learns word embeddings by leveraging statistical information from ...
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11/14/2020
ActBERT: Learning Global-Local Video-Text Representations
In this paper, we introduce ActBERT for self-supervised learning of join...
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05/25/2020
Feature Robust Optimal Transport for High-dimensional Data
Optimal transport is a machine learning technique with applications incl...
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04/12/2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
In this paper, we tackle the problem of discovering new classes in unlab...
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03/17/2020
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
Deep neural networks are known to be susceptible to adversarial noise, w...
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03/15/2020
SF-Net: Single-Frame Supervision for Temporal Action Localization
In this paper, we study an intermediate form of supervision, i.e., singl...
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02/08/2020
Symbiotic Attention with Privileged Information for Egocentric Action Recognition
Egocentric video recognition is a natural testbed for diverse interactio...
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11/20/2019
Instance-Invariant Adaptive Object Detection via Progressive Disentanglement
Most state-of-the-art methods of object detection suffer from poor gener...
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09/25/2019
Gated Channel Transformation for Visual Recognition
In this work, we propose a generally applicable transformation unit for ...
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08/29/2019
Learning to Transfer Learn
We propose a novel framework, learning to transfer learn (L2TL), to impr...
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06/22/2019
Baidu-UTS Submission to the EPIC-Kitchens Action Recognition Challenge 2019
In this report, we present the Baidu-UTS submission to the EPIC-Kitchens...
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06/10/2019
FASTER Recurrent Networks for Video Classification
Video classification methods often divide the video into short clips, do...
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04/20/2019
Cubic LSTMs for Video Prediction
Predicting future frames in videos has become a promising direction of r...
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04/08/2019
Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks
Existing methods usually utilize pre-defined criterions, such as p-norm,...
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04/08/2019
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation
There has been an increasing interest in 3D indoor navigation, where a r...
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03/23/2019
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
Prevailing deep convolutional neural networks (CNNs) for person re-IDent...
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08/27/2018
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions
We propose a novel attentive sequence to sequence translator (ASST) for ...
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04/11/2018
Decoupled Novel Object Captioner
Image captioning is a challenging task where the machine automatically d...
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07/13/2017
UTS submission to Google YouTube-8M Challenge 2017
In this paper, we present our solution to Google YouTube-8M Video Classi...
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12/19/2016
Few-Shot Object Recognition from Machine-Labeled Web Images
With the tremendous advances of Convolutional Neural Networks (ConvNets)...
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11/28/2016
