Search Results for author:
Found 24 papers, 10 papers with code
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image
Recent advancements in autonomous driving, augmented reality, robotics, and embodied intelligence have necessitated 3D perception algorithms.
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
3D Gaussian splatting (3DGS) has shown promising results in image rendering and surface reconstruction.
Zero-shot High-fidelity and Pose-controllable Character Animation
Image-to-video (I2V) generation aims to create a video sequence from a single image, which requires high temporal coherence and visual fidelity.
LoopAnimate: Loopable Salient Object Animation
The proposed LoopAnimate, which for the first time extends the single-pass generation length of UNet-based video generation models to 35 frames while maintaining high-quality video generation.
Homography Guided Temporal Fusion for Road Line and Marking Segmentation
Reliable segmentation of road lines and markings is critical to autonomous driving.
Learning with Diversification from Block Sparse Signal
This paper introduces a novel prior called Diversified Block Sparse Prior to characterize the widespread block sparsity phenomenon in real-world data.
View From Above: Orthogonal-View aware Cross-view Localization
This paper presents a novel aerial-to-ground feature aggregation strategy tailored for the task of cross-view image-based geo-localization.
Lightweight high-resolution Subject Matting in the Real World
To alleviate these issues, we propose to construct a saliency object matting dataset HRSOM and a lightweight network PSUNet.
BARET : Balanced Attention based Real image Editing driven by Target-text Inversion
Image editing approaches with diffusion models have been rapidly developed, yet their applicability are subject to requirements such as specific editing types (e. g., foreground or background object editing, style transfer), multiple conditions (e. g., mask, sketch, caption), and time consuming fine-tuning of diffusion models.
View Consistent Purification for Accurate Cross-View Localization
This paper proposes a fine-grained self-localization method for outdoor robotics that utilizes a flexible number of onboard cameras and readily accessible satellite images.
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Given a pair of augmented views, our approach regularizes the activation intensities between a pair of augmented views, while also ensuring that the affinity across regions within each view remains consistent.
Ranked #16 on
Weakly-Supervised Semantic Segmentation
on COCO 2014 val
Object Localization
Weakly supervised Semantic Segmentation
+1
TALL: Thumbnail Layout for Deepfake Video Detection
This paper introduces a simple yet effective strategy named Thumbnail Layout (TALL), which transforms a video clip into a pre-defined layout to realize the preservation of spatial and temporal dependencies.
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
The Segment Anything Model (SAM) has demonstrated exceptional performance and versatility, making it a promising tool for various related tasks.
Ranked #3 on
Weakly-Supervised Semantic Segmentation
on COCO 2014 val
(using extra training data)
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
Based on this observation, we propose a new learning strategy named False Negative Aware Contrastive (FNAC) to mitigate the problem of misleading the training with such false negative samples.
GAM : Gradient Attention Module of Optimization for Point Clouds Analysis
In point cloud analysis tasks, the existing local feature aggregation descriptors (LFAD) are unable to fully utilize information in the neighborhood of central points.
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge distillation (KD) has been extensively studied in single-label image classification.
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
This paper proposes a novel and fast self-supervised solution for sparse-view CBCT reconstruction (Cone Beam Computed Tomography) that requires no external training data.
Ranked #2 on
Novel View Synthesis
on X3D
Satellite Image Based Cross-view Localization for Autonomous Vehicle
This paper introduces a novel approach to cross-view localization that departs from the conventional image retrieval method.
RCL: Recurrent Continuous Localization for Temporal Action Detection
Temporal representation is the cornerstone of modern action detection techniques.
Disentangled Representation Learning for Text-Video Retrieval
Cross-modality interaction is a critical component in Text-Video Retrieval (TVR), yet there has been little examination of how different influencing factors for computing interaction affect performance.
Ranked #10 on
Video Retrieval
on MSR-VTT-1kA
(using extra training data)
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
Nowadays, live-stream and short video shopping in E-commerce have grown exponentially.
Large-Scale Visual Search with Binary Distributed Graph at Alibaba
For a deployed visual search system with several billions of online images in total, building a billion-scale offline graph in hours is essential, which is almost unachievable by most existing methods.
Visual Search at Alibaba
We hope visual search at Alibaba becomes more widely incorporated into today's commercial applications.
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
Benefiting from exploration of user click data, our networks are more effective to encode richer supervision and better distinguish real-shot images in terms of category and feature.
