5 citations · 19 across the 18 of their papers we have counts for
16 papers · 1 filter
Adaptive Inference-Time Scaling via Early-Step Latent Verification for Image Editing
Yue Yu, Yang Jiao, Jiayu Wang +2
Instruction-based image editing has made notable progress with recent advances in generative models. However, the quality of the edited result is still influenced by the randomly s…
SpatialImaginer: Towards Adaptive Visual Imagination for Spatial Reasoning
Yian Li, Yang Jiao, Bin Zhu +4
Spatial intelligence, which refers to the ability to reason about geometric and physical structure from visual observations, remains a core challenge for multimodal large language…
ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual Reasoning
Feng Han, Yang Jiao, Shaoxiang Chen +3
The field of controllable image generation has seen significant advancements, with various architectures improving generation layout consistency with control signals. However, cont…
OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks
Jiayu Wang, Yang Jiao, Yue Yu +4
Recent breakthroughs in large multimodal models (LMMs), such as the impressive GPT-4o-Native, have demonstrated remarkable proficiency in following general-purpose instructions for…
UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding
Yang Jiao, Haibo Qiu, Zequn Jie +4
We introduce UniToken, an auto-regressive generation model that encodes visual inputs through a combination of discrete and continuous representations, enabling seamless integratio…
EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language Models
Jiacheng Zhang, Yang Jiao, Shaoxiang Chen +2
Recently, Multimodal Large Language Models (MLLMs) have sparked great research interests owing to their exceptional content-reasoning and instruction-following capabilities. To eff…
EventHallusion: Diagnosing Event Hallucinations in Video LLMs
Jiacheng Zhang, Yang Jiao, Shaoxiang Chen +5
Recently, Multimodal Large Language Models (MLLMs) have made significant progress in the video comprehension field. Despite remarkable content reasoning and instruction following c…
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning
Yian Li, Wentao Tian, Yang Jiao +5
Recently, Multimodal Large Language Models (MLLMs) have achieved significant success across multiple disciplines due to their exceptional instruction-following capabilities and ext…
From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios
Guoshan Liu, Yang Jiao, Jingjing Chen +2
The precise recognition of food categories plays a pivotal role for intelligent health management, attracting significant research attention in recent years. Prominent benchmarks,…
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
Yang Jiao, Shaoxiang Chen, Zequn Jie +3
Large Multimodal Model (LMM) is a hot research topic in the computer vision area and has also demonstrated remarkable potential across multiple disciplinary fields. A recent trend…
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning
Yang Jiao, Zequn Jie, Shaoxiang Chen +4
Camera-based bird-eye-view (BEV) perception paradigm has made significant progress in the autonomous driving field. Under such a paradigm, accurate BEV representation construction…
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario
Tianwen Qian, Jingjing Chen, Linhai Zhuo +2
We introduce a novel visual question answering (VQA) task in the context of autonomous driving, aiming to answer natural language questions based on street-view clues. Compared to…
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
Yang Jiao, Zequn Jie, Shaoxiang Chen +3
Fusing LiDAR and camera information is essential for achieving accurate and reliable 3D object detection in autonomous driving systems. This is challenging due to the difficulty of…
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
Yang Jiao, Shaoxiang Chen, Zequn Jie +3
3D dense captioning is a recently-proposed novel task, where point clouds contain more geometric information than the 2D counterpart. However, it is also more challenging due to th…
Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding
Yang Jiao, Zequn Jie, Jingjing Chen +2
Recently, one-stage visual grounders attract high attention due to their comparable accuracy but significantly higher efficiency than two-stage grounders. However, inter-object rel…
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation
Yang Jiao, Zequn Jie, Weixin Luo +4
Referring Image Segmentation (RIS) aims at segmenting the target object from an image referred by one given natural language expression. The diverse and flexible expressions as wel…